Dr. Juan Gilbert in association with the ACM Bytecast

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the presidential endowed shair at the presidential endowed shair at Clemson but also recently I understand Clemson but also recently I understand Clemson but also recently I understand uh we given an award by the president uh we given an award by the president uh we given an award by the president himself yes that's correct that is himself yes that's correct that is himself yes that's correct that is pretty fantastic what is the name of the pretty fantastic what is the name of the pretty fantastic what is the name of the award that president gave you and was award that president gave you and was award that president gave you and was that for your work in voting yes uh I that for your work in voting yes uh I that for your work in voting yes uh I received the national medal for received the national medal for received the national medal for technology and technology and technology and Innovation it's the nation's highest Innovation it's the nation's highest Innovation it's the nation's highest honor for technological achievement and honor for technological achievement and honor for technological achievement and it's bestowed by the president of the it's bestowed by the president of the it's bestowed by the president of the United States when something like that's United States when something like that's United States when something like that's coming down the pipe do you hear coming down the pipe do you hear coming down the pipe do you hear Whispers or do they do they just call Whispers or do they do they just call Whispers or do they do they just call you one day like does it show up in your you one day like does it show up in your you one day like does it show up in your spam yeah that's exactly what happens spam yeah that's exactly what happens spam yeah that's exactly what happens you don't know I I did not know someone you don't know I I did not know someone you don't know I I did not know someone had nominated me for this honor just get had nominated me for this honor just get had nominated me for this honor just get out of the blue one day an email and out of the blue one day an email and out of the blue one day an email and 2019 saying that you've been nominated 2019 saying that you've been nominated 2019 saying that you've been nominated if you are willing and interested this if you are willing and interested this if you are willing and interested this award uh your university has to approve award uh your university has to approve award uh your university has to approve it and so but this is confidential you it and so but this is confidential you it and so but this is confidential you can't say anything you have not been can't say anything you have not been can't say anything you have not been selected uh but you're on the list so selected uh but you're on the list so selected uh but you're on the list so that happened in 2019 and it wasn't that happened in 2019 and it wasn't that happened in 2019 and it wasn't awarded until awarded until awarded until 2023 so it took uh several years for it 2023 so it took uh several years for it 2023 so it took uh several years for it to actually happen but uh yeah I didn't to actually happen but uh yeah I didn't to actually happen but uh yeah I didn't know and you just have to sit on that know and you just have to sit on that know and you just have to sit on that for four years that's like someone for four years that's like someone for four years that's like someone calling you and saying you're the next calling you and saying you're the next calling you and saying you're the next Marvel Superhero but you can't tell Marvel Superhero but you can't tell Marvel Superhero but you can't tell anybody for half a anybody for half a anybody for half a decade yes that is true it's very decade yes that is true it's very decade yes that is true it's very challenging but uh it it was just the challenging but uh it it was just the challenging but uh it it was just the previous administration didn't award any

previous administration didn't award any previous administration didn't award any national medals and then the new one national medals and then the new one national medals and then the new one comes in and says we're going to do it comes in and says we're going to do it comes in and says we're going to do it but then it didn't happen for a few but then it didn't happen for a few but then it didn't happen for a few years oh well that's fantastic though years oh well that's fantastic though years oh well that's fantastic though congratulations thank you now am I congratulations thank you now am I congratulations thank you now am I understanding that you grew up in in in understanding that you grew up in in in understanding that you grew up in in in Hamilton Ohio was getting an award from Hamilton Ohio was getting an award from Hamilton Ohio was getting an award from the president something that you're the president something that you're the president something that you're thinking about when you're you know thinking about when you're you know thinking about when you're you know bumping around in Hamilton not at all bumping around in Hamilton not at all bumping around in Hamilton not at all yes I'm from Hamilton Ohio Southwest yes I'm from Hamilton Ohio Southwest yes I'm from Hamilton Ohio Southwest Ohio I never imagined this it was beyond Ohio I never imagined this it was beyond Ohio I never imagined this it was beyond your wildest dreams I can't even put it your wildest dreams I can't even put it your wildest dreams I can't even put it in words that's fantastic now the the uh in words that's fantastic now the the uh in words that's fantastic now the the uh project that I think they were the most project that I think they were the most project that I think they were the most excited about is called Prime three it's excited about is called Prime three it's excited about is called Prime three it's called one machine one vote for everyone called one machine one vote for everyone called one machine one vote for everyone and uh this is an active project uh and and uh this is an active project uh and and uh this is an active project uh and it's at Prim voting system.org it's it's at Prim voting system.org it's it's at Prim voting system.org it's called the first all accessible voting called the first all accessible voting called the first all accessible voting system what does that mean all system what does that mean all system what does that mean all accessible so the story is uh back in accessible so the story is uh back in accessible so the story is uh back in the year 2000 we had a presidential the year 2000 we had a presidential the year 2000 we had a presidential ction and in the State of Florida we had ction and in the State of Florida we had ction and in the State of Florida we had um some little controversy after that um some little controversy after that um some little controversy after that controversy Congress passed in 2002 was controversy Congress passed in 2002 was controversy Congress passed in 2002 was called The Help America vote act Hava called The Help America vote act Hava called The Help America vote act Hava and in Hava they had a requirement it and in Hava they had a requirement it and in Hava they had a requirement it said every voting Precinct was required said every voting Precinct was required said every voting Precinct was required to have at least one accessible voting to have at least one accessible voting to have at least one accessible voting machine for people with machine for people with machine for people with disabilities when I saw this legislation disabilities when I saw this legislation disabilities when I saw this legislation I said I understand the intent behind it I said I understand the intent behind it I said I understand the intent behind it but they got it wrong they made a but they got it wrong they made a but they got it wrong they made a mistake mistake the mistake was they mistake mistake the mistake was they mistake mistake the mistake was they created inadvertently a separate but

created inadvertently a separate but created inadvertently a separate but equal approach to voting and you know equal approach to voting and you know equal approach to voting and you know separate ve equal doesn't really work separate ve equal doesn't really work separate ve equal doesn't really work out very well and when I reported this out very well and when I reported this out very well and when I reported this concern I was concern I was concern I was told there's no other way to do it we told there's no other way to do it we told there's no other way to do it we have to have a separate way for people have to have a separate way for people have to have a separate way for people with with with disabilities and I said oh no you don't disabilities and I said oh no you don't disabilities and I said oh no you don't and we're going to do it so we went and and we're going to do it so we went and and we're going to do it so we went and created a universally designed voting created a universally designed voting created a universally designed voting machine to allow people to vote the same machine to allow people to vote the same machine to allow people to vote the same way if you can't see if you can't hear way if you can't see if you can't hear way if you can't see if you can't hear if you can't read if you don't have arms if you can't read if you don't have arms if you can't read if you don't have arms you could vote on the same machine as you could vote on the same machine as you could vote on the same machine as anyone else and so that's where it all anyone else and so that's where it all anyone else and so that's where it all began a term that you've used is barrier began a term that you've used is barrier began a term that you've used is barrier free design right we' hear about free design right we' hear about free design right we' hear about accessibility a11 Y for the Shand for accessibility a11 Y for the Shand for accessibility a11 Y for the Shand for accessibility I've heard design for all accessibility I've heard design for all accessibility I've heard design for all I've heard inclusive design but I really I've heard inclusive design but I really I've heard inclusive design but I really like that term barrier-free it's like that term barrier-free it's like that term barrier-free it's surprising that that's in any way surprising that that's in any way surprising that that's in any way controversial controversial controversial yeah it you would think so all at the yeah it you would think so all at the yeah it you would think so all at the end of the day Universal Design barrier end of the day Universal Design barrier end of the day Universal Design barrier free all these things communicate the free all these things communicate the free all these things communicate the same point which is separate but equal same point which is separate but equal same point which is separate but equal hasn't served us well with technology hasn't served us well with technology hasn't served us well with technology and the things we know we can design for and the things we know we can design for and the things we know we can design for everyone and that's the point yeah the everyone and that's the point yeah the everyone and that's the point yeah the idea that it is considered controversial idea that it is considered controversial idea that it is considered controversial at all to be uh inclusive and try to at all to be uh inclusive and try to at all to be uh inclusive and try to cover all bases seems surprising to me cover all bases seems surprising to me cover all bases seems surprising to me now I understand that these machines use now I understand that these machines use now I understand that these machines use multimodality they're not not just touch multimodality they're not not just touch multimodality they're not not just touch screens right like they can talk to you screens right like they can talk to you screens right like they can talk to you they can communicate with you in any way

they can communicate with you in any way they can communicate with you in any way that you can be talked to correct yes that you can be talked to correct yes that you can be talked to correct yes that was the design uh originally the that was the design uh originally the that was the design uh originally the idea was that it would have audio idea was that it would have audio idea was that it would have audio feedback so the machine would speak to feedback so the machine would speak to feedback so the machine would speak to you so if you're blind or visually you so if you're blind or visually you so if you're blind or visually impaired you could hear ballot impaired you could hear ballot impaired you could hear ballot information and things and you could information and things and you could information and things and you could respond either with your voice or respond either with your voice or respond either with your voice or through switches or buttons and things through switches or buttons and things through switches or buttons and things like that like that like that and with your voice we didn't do speech and with your voice we didn't do speech and with your voice we didn't do speech recognition we did something different recognition we did something different recognition we did something different we used the conversational approach so we used the conversational approach so we used the conversational approach so it wouldn't if you wanted to vote for I it wouldn't if you wanted to vote for I it wouldn't if you wanted to vote for I don't know Joe Biden you wouldn't say don't know Joe Biden you wouldn't say don't know Joe Biden you wouldn't say Joe Biden it would say you're voting for Joe Biden it would say you're voting for Joe Biden it would say you're voting for president to vote for Joe Biden say vote president to vote for Joe Biden say vote president to vote for Joe Biden say vote and you could say Vote or you could blow and you could say Vote or you could blow and you could say Vote or you could blow into the microphone as a response into the microphone as a response into the microphone as a response doesn't sound like a big deal but if you doesn't sound like a big deal but if you doesn't sound like a big deal but if you think about it it gives privacy because think about it it gives privacy because think about it it gives privacy because if I said Joe Biden everybody knows who if I said Joe Biden everybody knows who if I said Joe Biden everybody knows who you're voting for but if you're just you're voting for but if you're just you're voting for but if you're just saying vote you'll never know who this saying vote you'll never know who this saying vote you'll never know who this person is voting for so they got privacy person is voting for so they got privacy person is voting for so they got privacy yeah that's a great point because it's yeah that's a great point because it's yeah that's a great point because it's not just about uh the accessibility of not just about uh the accessibility of not just about uh the accessibility of it but it needs to be equal to everyone it but it needs to be equal to everyone it but it needs to be equal to everyone else around you who also has privacy else around you who also has privacy else around you who also has privacy they can get inside the booth they can they can get inside the booth they can they can get inside the booth they can hide their vote they can have that vote hide their vote they can have that vote hide their vote they can have that vote be between them and their government be between them and their government be between them and their government which is way it's supposed to be exactly which is way it's supposed to be exactly which is way it's supposed to be exactly exactly cool so this has not the main exactly cool so this has not the main exactly cool so this has not the main focus though of your work the main focus focus though of your work the main focus focus though of your work the main focus of your work is human centered computing of your work is human centered computing of your work is human centered computing like you're putting the human at the like you're putting the human at the like you're putting the human at the middle of everything I've heard rumor middle of everything I've heard rumor middle of everything I've heard rumor that there's signs up in the lab or a that there's signs up in the lab or a that there's signs up in the lab or a sign up in the lab that says change the

sign up in the lab that says change the sign up in the lab that says change the world yeah that's our one of our models world yeah that's our one of our models world yeah that's our one of our models but yeah human Center Computing the idea but yeah human Center Computing the idea but yeah human Center Computing the idea for the Computing for social good lab for the Computing for social good lab for the Computing for social good lab the work we do is we like to build the work we do is we like to build the work we do is we like to build innovative solutions to real world or innovative solutions to real world or innovative solutions to real world or applied problems and we do that by applied problems and we do that by applied problems and we do that by integrating people with technology integrating people with technology integrating people with technology policy culture Etc so the idea is that policy culture Etc so the idea is that policy culture Etc so the idea is that we can identify a problem design we can identify a problem design we can identify a problem design Solutions with the relevant stakeholders Solutions with the relevant stakeholders Solutions with the relevant stakeholders and create interventions Technologies at and create interventions Technologies at and create interventions Technologies at times and then evaluate them with the times and then evaluate them with the times and then evaluate them with the relevant stakeholders so that's relevant stakeholders so that's relevant stakeholders so that's essentially who we are and what we do do essentially who we are and what we do do essentially who we are and what we do do you think that the personalities of you think that the personalities of you think that the personalities of people and I'm pointing it myself who people and I'm pointing it myself who people and I'm pointing it myself who get involved in technology sometimes get involved in technology sometimes get involved in technology sometimes just do Tech because it's cool and just do Tech because it's cool and just do Tech because it's cool and forget that there's humans at the center forget that there's humans at the center forget that there's humans at the center and is their room to do it because it's and is their room to do it because it's and is their room to do it because it's just cool like we're doing this Tech just cool like we're doing this Tech just cool like we're doing this Tech because it's it's amazing we should just because it's it's amazing we should just because it's it's amazing we should just do it versus human first and then having do it versus human first and then having do it versus human first and then having the human look for this solution I think the human look for this solution I think the human look for this solution I think it's wrong for all the above to be it's wrong for all the above to be it's wrong for all the above to be honest with you doing Tech CA is cool honest with you doing Tech CA is cool honest with you doing Tech CA is cool there's certain contexts where that there's certain contexts where that there's certain contexts where that makes perfect sense I think there's makes perfect sense I think there's makes perfect sense I think there's other contexts where the human first and other contexts where the human first and other contexts where the human first and those tend to be places where Tech can those tend to be places where Tech can those tend to be places where Tech can replace a person and take away a job or replace a person and take away a job or replace a person and take away a job or something so I I I think there's room something so I I I think there's room something so I I I think there's room for all the above and you just got to for all the above and you just got to for all the above and you just got to evaluate it appropriately given the evaluate it appropriately given the evaluate it appropriately given the relevant context so you bring up Tech

relevant context so you bring up Tech relevant context so you bring up Tech taking away a job whether it be a robot taking away a job whether it be a robot taking away a job whether it be a robot and a um you know an automation of some and a um you know an automation of some and a um you know an automation of some kind in the early 1900s where we're kind in the early 1900s where we're kind in the early 1900s where we're creating assembly lines and arguably creating assembly lines and arguably creating assembly lines and arguably either make one could say making people either make one could say making people either make one could say making people more productive and others could say more productive and others could say more productive and others could say taking jobs away we're at the beginning taking jobs away we're at the beginning taking jobs away we're at the beginning of this kind of hockey stick graph of AI of this kind of hockey stick graph of AI of this kind of hockey stick graph of AI and everyone is concerned that it's and everyone is concerned that it's and everyone is concerned that it's going to take jobs away but the more going to take jobs away but the more going to take jobs away but the more positive people the more optimistic are positive people the more optimistic are positive people the more optimistic are saying No this will just take away you saying No this will just take away you saying No this will just take away you know toil it'll take away the boring know toil it'll take away the boring know toil it'll take away the boring part of the job where do you see that part of the job where do you see that part of the job where do you see that that tension resolving that tension resolving that tension resolving itself well if anybody says they know itself well if anybody says they know itself well if anybody says they know I'm GNA say they really don't this is I'm GNA say they really don't this is I'm GNA say they really don't this is TBD to be determined you have these TBD to be determined you have these TBD to be determined you have these Technologies specifically AI that will Technologies specifically AI that will Technologies specifically AI that will be integrated into society and different be integrated into society and different be integrated into society and different how will it integrate with people how how will it integrate with people how how will it integrate with people how will that occur it's just undecided so will that occur it's just undecided so will that occur it's just undecided so it's hard to say how far it will go uh it's hard to say how far it will go uh it's hard to say how far it will go uh and what Society will look like as a and what Society will look like as a and what Society will look like as a result of that all we can say for result of that all we can say for result of that all we can say for certain is it's going to change things certain is it's going to change things certain is it's going to change things our society is going to change as a our society is going to change as a our society is going to change as a result of this to what extent I don't result of this to what extent I don't result of this to what extent I don't think anyone knows until it's actually think anyone knows until it's actually think anyone knows until it's actually Implement because what you'll see a Implement because what you'll see a Implement because what you'll see a person has a vision for implementing AI person has a vision for implementing AI person has a vision for implementing AI in a certain context and then then they in a certain context and then then they in a certain context and then then they do it and then it do it and then it do it and then it fails and they have to walk away from it fails and they have to walk away from it fails and they have to walk away from it and that and that and that happens one of the analogies that I use happens one of the analogies that I use happens one of the analogies that I use and I'm interested in your uh your

and I'm interested in your uh your and I'm interested in your uh your analysis of this is many many years ago analysis of this is many many years ago analysis of this is many many years ago they cloned a sheep it was on the news they cloned a sheep it was on the news they cloned a sheep it was on the news and we all remember you know those of us and we all remember you know those of us and we all remember you know those of us of a certain age like oh my goodness of a certain age like oh my goodness of a certain age like oh my goodness they've cloned a sheep and then there they've cloned a sheep and then there they've cloned a sheep and then there was a lot of discussion and there was a was a lot of discussion and there was a was a lot of discussion and there was a lot of government meetings and then lot of government meetings and then lot of government meetings and then everyone decided you know we're not everyone decided you know we're not everyone decided you know we're not going to clone people we might clone going to clone people we might clone going to clone people we might clone cells we could use this for medical cells we could use this for medical cells we could use this for medical reasons but we as a culture we as a reasons but we as a culture we as a reasons but we as a culture we as a society are not making copies of humans society are not making copies of humans society are not making copies of humans and we moved on with our lives however and we moved on with our lives however and we moved on with our lives however in a world of AI where things are open in a world of AI where things are open in a world of AI where things are open source it's not as easy for us as a source it's not as easy for us as a source it's not as easy for us as a society to decide we're not going to use society to decide we're not going to use society to decide we're not going to use AI for thing for whatever a thing is AI for thing for whatever a thing is AI for thing for whatever a thing is it's limited really to what country or it's limited really to what country or it's limited really to what country or what continent or what organization what continent or what organization what continent or what organization wants to regulate it does that change wants to regulate it does that change wants to regulate it does that change you know your opinion that we can't all you know your opinion that we can't all you know your opinion that we can't all decide oh we're not doing generated decide oh we're not doing generated decide oh we're not doing generated movies nope we're not doing deep fakes movies nope we're not doing deep fakes movies nope we're not doing deep fakes you're absolutely right and again I I I you're absolutely right and again I I I you're absolutely right and again I I I say you don't know that it's going to say you don't know that it's going to say you don't know that it's going to work until it's been work until it's been work until it's been deployed uh let let me give you an deployed uh let let me give you an deployed uh let let me give you an example of something look at uh facial example of something look at uh facial example of something look at uh facial recognition very it got very good and recognition very it got very good and recognition very it got very good and they said well we're going to use it in they said well we're going to use it in they said well we're going to use it in law enforcement we could find the bad law enforcement we could find the bad law enforcement we could find the bad guys all right sounded like a good idea guys all right sounded like a good idea guys all right sounded like a good idea it's going to work but what did it do it it's going to work but what did it do it it's going to work but what did it do it ended up creating using bias creating ended up creating using bias creating ended up creating using bias creating dis disparities and who had actually dis disparities and who had actually dis disparities and who had actually identified and things like that mistaken identified and things like that mistaken identified and things like that mistaken identities that you started to see that

identities that you started to see that identities that you started to see that it wasn't as accurate identifying C it wasn't as accurate identifying C it wasn't as accurate identifying C people from certain demographics versus people from certain demographics versus people from certain demographics versus others they didn't know that going others they didn't know that going others they didn't know that going in and so I think we're gonna have a in and so I think we're gonna have a in and so I think we're gonna have a moments like that meaning oh AI would be moments like that meaning oh AI would be moments like that meaning oh AI would be so cool if we do this thing and people so cool if we do this thing and people so cool if we do this thing and people were going to jump B and then they're were going to jump B and then they're were going to jump B and then they're going to learn that oh this doesn't work going to learn that oh this doesn't work going to learn that oh this doesn't work that's why I'm saying the verdict is out that's why I'm saying the verdict is out that's why I'm saying the verdict is out you got to this one thing to have the you got to this one thing to have the you got to this one thing to have the ability to do AI it's another thing to ability to do AI it's another thing to ability to do AI it's another thing to actually deploy it and have it be actually deploy it and have it be actually deploy it and have it be successful yeah it's really interesting successful yeah it's really interesting successful yeah it's really interesting also to think that the internet has also to think that the internet has also to think that the internet has flattened the Earth in the sense of so flattened the Earth in the sense of so flattened the Earth in the sense of so many of us think of the earth is having many of us think of the earth is having many of us think of the earth is having kind of its and the internet itself is kind of its and the internet itself is kind of its and the internet itself is having its own kind of culture and we having its own kind of culture and we having its own kind of culture and we kind of mostly agree about stuff and I kind of mostly agree about stuff and I kind of mostly agree about stuff and I was traveling in Korea last week and was traveling in Korea last week and was traveling in Korea last week and they have facial recognition and their they have facial recognition and their they have facial recognition and their TSA their Airport System was just TSA their Airport System was just TSA their Airport System was just buttery smooth and I thought it was buttery smooth and I thought it was buttery smooth and I thought it was amazing and I was like I came back and I amazing and I was like I came back and I amazing and I was like I came back and I told my wife it's so amazing this so told my wife it's so amazing this so told my wife it's so amazing this so high-tech I didn't even have to talk to high-tech I didn't even have to talk to high-tech I didn't even have to talk to a person da and the first thing I see in a person da and the first thing I see in a person da and the first thing I see in the newspaper is a letter from 14 the newspaper is a letter from 14 the newspaper is a letter from 14 Senators saying facial recognition at Senators saying facial recognition at Senators saying facial recognition at airports is a bad idea and we shouldn't airports is a bad idea and we shouldn't airports is a bad idea and we shouldn't expand it and I thought that was such an expand it and I thought that was such an expand it and I thought that was such an interesting thing because here I'm interesting thing because here I'm interesting thing because here I'm thinking how convenient was this but thinking how convenient was this but thinking how convenient was this but then other people are saying well what then other people are saying well what then other people are saying well what did we lose and Korea and Europe and so did we lose and Korea and Europe and so did we lose and Korea and Europe and so many of these other countries that are many of these other countries that are many of these other countries that are using this technology think it's awesome

using this technology think it's awesome using this technology think it's awesome but it feels like we're at a moment but it feels like we're at a moment but it feels like we're at a moment where we want to pump the brakes at where we want to pump the brakes at where we want to pump the brakes at least in the US on facial recognition least in the US on facial recognition least in the US on facial recognition two different you know cultures having a two different you know cultures having a two different you know cultures having a dramatically different reaction to dramatically different reaction to dramatically different reaction to effectively the same technology effectively the same technology effectively the same technology absolutely and we got to see more of absolutely and we got to see more of absolutely and we got to see more of that you can't predict how that you can't predict how that you can't predict how what's what's going what the future is what's what's going what the future is what's what's going what the future is going to be like with AI all we can do going to be like with AI all we can do going to be like with AI all we can do is you know hypothesize but until it's is you know hypothesize but until it's is you know hypothesize but until it's actually evaluated andoy and evaluate actually evaluated andoy and evaluate actually evaluated andoy and evaluate you just don't know so you all are doing you just don't know so you all are doing you just don't know so you all are doing some research in one space with AI that some research in one space with AI that some research in one space with AI that I think is very interesting around I think is very interesting around I think is very interesting around hiring decisions which has the hiring decisions which has the hiring decisions which has the opportunity to be somewhat controversial opportunity to be somewhat controversial opportunity to be somewhat controversial we had a job recently that had hundreds we had a job recently that had hundreds we had a job recently that had hundreds of applicants and one could say hey we of applicants and one could say hey we of applicants and one could say hey we should probably get a computer involved should probably get a computer involved should probably get a computer involved because who can read 800 resumés but because who can read 800 resumés but because who can read 800 resumés but then to your point bias inadvertently then to your point bias inadvertently then to your point bias inadvertently missing out on a great person because missing out on a great person because missing out on a great person because they didn't have the right keyword how they didn't have the right keyword how they didn't have the right keyword how are you approaching AI within the are you approaching AI within the are you approaching AI within the context of hiring decisions I created context of hiring decisions I created context of hiring decisions I created what's called applications Quest we call what's called applications Quest we call what's called applications Quest we call it AQ for short I created this it AQ for short I created this it AQ for short I created this technology in response to the Supreme technology in response to the Supreme technology in response to the Supreme Court decisions on affirmative action Court decisions on affirmative action Court decisions on affirmative action and Admissions and hiring decisions the and Admissions and hiring decisions the and Admissions and hiring decisions the use of race and gender national origin use of race and gender national origin use of race and gender national origin Etc the idea of using AI to read an Etc the idea of using AI to read an Etc the idea of using AI to read an application it's not what I do what I do application it's not what I do what I do application it's not what I do what I do is I take the application and process it is I take the application and process it is I take the application and process it with after humans have read it for with after humans have read it for with after humans have read it for example so the AI I created does not example so the AI I created does not example so the AI I created does not read an essay or anything like that what

read an essay or anything like that what read an essay or anything like that what it does it takes application data and IT it does it takes application data and IT it does it takes application data and IT addresses what I call the capacity issue addresses what I call the capacity issue addresses what I call the capacity issue so the Supreme Court and and those folks so the Supreme Court and and those folks so the Supreme Court and and those folks they all got this wrong they thought they all got this wrong they thought they all got this wrong they thought this thing was about race gender this thing was about race gender this thing was about race gender national origin Etc it's not we I can national origin Etc it's not we I can national origin Etc it's not we I can prove it because the first decision was prove it because the first decision was prove it because the first decision was in June of 2003 and we just had another in June of 2003 and we just had another in June of 2003 and we just had another one last year on on this very issue and one last year on on this very issue and one last year on on this very issue and it's not going to go away uh the reason it's not going to go away uh the reason it's not going to go away uh the reason is because they're addressing the wrong is because they're addressing the wrong is because they're addressing the wrong problem the problem is a capacity issue problem the problem is a capacity issue problem the problem is a capacity issue when you have more qualified applicants when you have more qualified applicants when you have more qualified applicants than available slots or offers by than available slots or offers by than available slots or offers by definition you got to turn away someone definition you got to turn away someone definition you got to turn away someone who's qualified well you turn away who's qualified well you turn away who's qualified well you turn away someone who's qualified they know someone who's qualified they know someone who's qualified they know they're qualified and they're said they they're qualified and they're said they they're qualified and they're said they didn't get it they want to know why well didn't get it they want to know why well didn't get it they want to know why well the easiest scapegoat is race gender a the easiest scapegoat is race gender a the easiest scapegoat is race gender a so that's why we're here you take those so that's why we're here you take those so that's why we're here you take those things away they're just going to move things away they're just going to move things away they're just going to move on to the next thing they already on to the next thing they already on to the next thing they already talking about legacies then they're talking about legacies then they're talking about legacies then they're going to be talking about athletes and going to be talking about athletes and going to be talking about athletes and and it's just going to keep going till and it's just going to keep going till and it's just going to keep going till you address the capacity issue so the AI you address the capacity issue so the AI you address the capacity issue so the AI I created addresses the capacity issue I created addresses the capacity issue I created addresses the capacity issue and as a side effect you get what I call and as a side effect you get what I call and as a side effect you get what I call Holistic diversity diversity across many Holistic diversity diversity across many Holistic diversity diversity across many different attributes not just just race different attributes not just just race different attributes not just just race gender Etc so that was the approach I've gender Etc so that was the approach I've gender Etc so that was the approach I've taken and that's the taken and that's the taken and that's the problem the idea of holistic diversity problem the idea of holistic diversity problem the idea of holistic diversity is a really nice one uh the I love that is a really nice one uh the I love that is a really nice one uh the I love that that that's that's an academic term it's that that's that's an academic term it's that that's that's an academic term it's much more sophisticated than what I've much more sophisticated than what I've much more sophisticated than what I've told my my co-workers and and friends

told my my co-workers and and friends told my my co-workers and and friends which is that Tech should look like the which is that Tech should look like the which is that Tech should look like the mall and you go to the mall and you see mall and you go to the mall and you see mall and you go to the mall and you see just this wave of America kind of coming just this wave of America kind of coming just this wave of America kind of coming at you as you walk around in the mall at you as you walk around in the mall at you as you walk around in the mall and it's very natural roll the dice and it's very natural roll the dice and it's very natural roll the dice representative group of people now when representative group of people now when representative group of people now when you say capacity is the capacity of the you say capacity is the capacity of the you say capacity is the capacity of the uh the academic system to accept people uh the academic system to accept people uh the academic system to accept people or the number of jobs available or the or the number of jobs available or the or the number of jobs available or the number of teachers available what is the number of teachers available what is the number of teachers available what is the capacity that we are lacking no it's not capacity that we are lacking no it's not capacity that we are lacking no it's not we're lacking it it's just limited we're lacking it it's just limited we're lacking it it's just limited University of Florida has a freshman University of Florida has a freshman University of Florida has a freshman class we have a limit a bound on how class we have a limit a bound on how class we have a limit a bound on how many people we can admit there's a many people we can admit there's a many people we can admit there's a scholarship available we only have 10 of scholarship available we only have 10 of scholarship available we only have 10 of those your your organization is hiring those your your organization is hiring those your your organization is hiring we only have two spots there's the we only have two spots there's the we only have two spots there's the capacity so if you only have you know capacity so if you only have you know capacity so if you only have you know two spots and you only have capacity say two spots and you only have capacity say two spots and you only have capacity say to interview five people and you had 100 to interview five people and you had 100 to interview five people and you had 100 applicants like you said you know you applicants like you said you know you applicants like you said you know you look at and say well at 150 of them meet look at and say well at 150 of them meet look at and say well at 150 of them meet my minimum qualifications uh my minimum qualifications uh my minimum qualifications uh oh now I got to turn away oh now I got to turn away oh now I got to turn away 45 which 45 so this AI can select you 45 which 45 so this AI can select you 45 which 45 so this AI can select you know which five or recommend the five know which five or recommend the five know which five or recommend the five and a way that is they're qualified and and a way that is they're qualified and and a way that is they're qualified and holistically holistically holistically diverse very cool very cool how do you diverse very cool very cool how do you diverse very cool very cool how do you decide as a lab which projects to work decide as a lab which projects to work decide as a lab which projects to work on do you have a brainstorm or Eureka on do you have a brainstorm or Eureka on do you have a brainstorm or Eureka moment or maybe one of your t or one of moment or maybe one of your t or one of moment or maybe one of your t or one of your PhD students has an idea and then your PhD students has an idea and then your PhD students has an idea and then you all get together and vote on it it's

you all get together and vote on it it's you all get together and vote on it it's all the above to be honest what happens all the above to be honest what happens all the above to be honest what happens is uh a lot of our ideas come from is uh a lot of our ideas come from is uh a lot of our ideas come from society uh what's the issue what what do society uh what's the issue what what do society uh what's the issue what what do we what do we care about what are we we what do we care about what are we we what do we care about what are we motivated about what do we want to motivated about what do we want to motivated about what do we want to address so a lot of the the ideas come address so a lot of the the ideas come address so a lot of the the ideas come from events so I I give you an example a from events so I I give you an example a from events so I I give you an example a new project in the lab primarily I new project in the lab primarily I new project in the lab primarily I walked in the lab one day and a group of walked in the lab one day and a group of walked in the lab one day and a group of my students were sitting around the my students were sitting around the my students were sitting around the table with sad faces I said what's the table with sad faces I said what's the table with sad faces I said what's the matter they said well we're tired of matter they said well we're tired of matter they said well we're tired of seeing people get shot during routine seeing people get shot during routine seeing people get shot during routine traffic traffic traffic stops I said whoa really stops I said whoa really stops I said whoa really okay well me too let's let's do okay well me too let's let's do okay well me too let's let's do something about it we went to the lab something about it we went to the lab something about it we went to the lab and we created a technology called and we created a technology called and we created a technology called virtual traffic stop so it just came virtual traffic stop so it just came virtual traffic stop so it just came about as a result of events and this is about as a result of events and this is about as a result of events and this is a an app that you can install it's in a an app that you can install it's in a an app that you can install it's in the Apple App Store or Google Play and the Apple App Store or Google Play and the Apple App Store or Google Play and are you learning are you being trained are you learning are you being trained are you learning are you being trained how to be safe during a traffic stop or how to be safe during a traffic stop or how to be safe during a traffic stop or do you run it while you are in a traffic do you run it while you are in a traffic do you run it while you are in a traffic stop so the way virtual traffic stop stop so the way virtual traffic stop stop so the way virtual traffic stop Works here's the scenario you get the Works here's the scenario you get the Works here's the scenario you get the app and uh you have to you know register app and uh you have to you know register app and uh you have to you know register and you put the car you're driving and and you put the car you're driving and and you put the car you're driving and all that stuff so let's say youve done all that stuff so let's say youve done all that stuff so let's say youve done that your information's in and the law that your information's in and the law that your information's in and the law enforcement officers pull you over and enforcement officers pull you over and enforcement officers pull you over and they have to have it they have to have it they have to have it too so the idea is that uh when you get

too so the idea is that uh when you get too so the idea is that uh when you get pulled over you can open Virtual traffic pulled over you can open Virtual traffic pulled over you can open Virtual traffic stop and initiate the virtual traffic stop and initiate the virtual traffic stop and initiate the virtual traffic stop so what is a virtual traffic stop stop so what is a virtual traffic stop stop so what is a virtual traffic stop it is a video conference between you and it is a video conference between you and it is a video conference between you and the officer prior to them approaching the officer prior to them approaching the officer prior to them approaching the vehicle if they have to approach it the vehicle if they have to approach it the vehicle if they have to approach it at all and you can have a third party of at all and you can have a third party of at all and you can have a third party of your choosing so if you're a kid your your choosing so if you're a kid your your choosing so if you're a kid your parent could come in and the idea is parent could come in and the idea is parent could come in and the idea is this is a deescalation tool whereby law this is a deescalation tool whereby law this is a deescalation tool whereby law enforcement and the drivers can have an enforcement and the drivers can have an enforcement and the drivers can have an icebreaking moment where you can know icebreaking moment where you can know icebreaking moment where you can know who they are what you stopped for what who they are what you stopped for what who they are what you stopped for what they're doing what's in the car all this they're doing what's in the car all this they're doing what's in the car all this information so when they if they information so when they if they information so when they if they approach the vehicle it's deescalate approach the vehicle it's deescalate approach the vehicle it's deescalate they don't have the same unknowns they don't have the same unknowns they don't have the same unknowns intentions wow that is a really crazy intentions wow that is a really crazy intentions wow that is a really crazy idea I love that the idea also as a son idea I love that the idea also as a son idea I love that the idea also as a son I have two sons 16 and 18 my 18-year-old I have two sons 16 and 18 my 18-year-old I have two sons 16 and 18 my 18-year-old had his first traffic stop going five had his first traffic stop going five had his first traffic stop going five miles over and describing the feeling of miles over and describing the feeling of miles over and describing the feeling of his his heart pounding in his chest uh his his heart pounding in his chest uh his his heart pounding in his chest uh while the guy is sitting there in the while the guy is sitting there in the while the guy is sitting there in the car and he doesn't know what's happening car and he doesn't know what's happening car and he doesn't know what's happening and is he going to get out is he not and is he going to get out is he not and is he going to get out is he not going to get out being able to have a going to get out being able to have a going to get out being able to have a third person an advocate whoever whether third person an advocate whoever whether third person an advocate whoever whether it be if we a young person right or or it be if we a young person right or or it be if we a young person right or or or someone who may have trouble or someone who may have trouble or someone who may have trouble communicating like a heart of hearing or communicating like a heart of hearing or communicating like a heart of hearing or or a speech impaired driver exactly and or a speech impaired driver exactly and or a speech impaired driver exactly and we designed it for that if you if you we designed it for that if you if you we designed it for that if you if you are uh hard of hearing speech impair you are uh hard of hearing speech impair you are uh hard of hearing speech impair you can actually specify that and instead of

can actually specify that and instead of can actually specify that and instead of speaking you can chat with the officer speaking you can chat with the officer speaking you can chat with the officer and by the way the whole thing is record and by the way the whole thing is record and by the way the whole thing is record and once I process the video It's Made and once I process the video It's Made and once I process the video It's Made available through the app to you at the available through the app to you at the available through the app to you at the same time law same time law same time law enforcement so I created this technology enforcement so I created this technology enforcement so I created this technology in response to incidents uh University in response to incidents uh University in response to incidents uh University of Florida police department has the app of Florida police department has the app of Florida police department has the app they're the only law enforcement they're the only law enforcement they're the only law enforcement division that have it right now uh but division that have it right now uh but division that have it right now uh but people out there you can get the app and people out there you can get the app and people out there you can get the app and look at it watch on the the website has look at it watch on the the website has look at it watch on the the website has videos and if your Law Enforcement wants videos and if your Law Enforcement wants videos and if your Law Enforcement wants it we can sign up do pilots and check it it we can sign up do pilots and check it it we can sign up do pilots and check it out it works out it works out it works yeah the the that's so interesting let yeah the the that's so interesting let yeah the the that's so interesting let me ask you this uh when people are me ask you this uh when people are me ask you this uh when people are listening to podcasts or reading the listening to podcasts or reading the listening to podcasts or reading the news about stuff like this in such a news about stuff like this in such a news about stuff like this in such a polarized time they might say oh polarized time they might say oh polarized time they might say oh applications Quest that's too that's too applications Quest that's too that's too applications Quest that's too that's too woke or virtual traffic stop that's not woke or virtual traffic stop that's not woke or virtual traffic stop that's not needed is that a failure of empathy needed is that a failure of empathy needed is that a failure of empathy perhaps on the part of the of the reader perhaps on the part of the of the reader perhaps on the part of the of the reader or The Listener who's not seeing that or The Listener who's not seeing that or The Listener who's not seeing that well I don't need that therefore it's well I don't need that therefore it's well I don't need that therefore it's not needed that's one way you could look not needed that's one way you could look not needed that's one way you could look at it I I I I think it's just you got to at it I I I I think it's just you got to at it I I I I think it's just you got to reach people where they are so like reach people where they are so like reach people where they are so like virtual traffic stop um i i people ask virtual traffic stop um i i people ask virtual traffic stop um i i people ask questions and I say you know this is questions and I say you know this is questions and I say you know this is giving cops safy what most people don't giving cops safy what most people don't giving cops safy what most people don't know cops during traffic stops cops that know cops during traffic stops cops that know cops during traffic stops cops that are injured or killed it's not so much are injured or killed it's not so much are injured or killed it's not so much that the drivers are shooting them or that the drivers are shooting them or that the drivers are shooting them or injuring them they get hit by

injuring them they get hit by injuring them they get hit by cars virtual traffic stop at worst case cars virtual traffic stop at worst case cars virtual traffic stop at worst case minimizes the amount of time the outside minimizes the amount of time the outside minimizes the amount of time the outside the car the car the car and and and if you look at all the and and and if you look at all the and and and if you look at all the incidents that happened that went sour incidents that happened that went sour incidents that happened that went sour they have one thing in comment all they have one thing in comment all they have one thing in comment all officers say the same thing I did not officers say the same thing I did not officers say the same thing I did not know and there's something they didn't know and there's something they didn't know and there's something they didn't know that caused them to react the way know that caused them to react the way know that caused them to react the way they did well with virtual traic stop they did well with virtual traic stop they did well with virtual traic stop you can you can you can know so it's keeping law enforcement know so it's keeping law enforcement know so it's keeping law enforcement safe as safe as safe as well yeah that is a very thoughtful and well yeah that is a very thoughtful and well yeah that is a very thoughtful and very balanced way to do things I very balanced way to do things I very balanced way to do things I appreciate that I perspective let let me appreciate that I perspective let let me appreciate that I perspective let let me pose the question this way this is what pose the question this way this is what pose the question this way this is what I ask officers there's a car you pulled I ask officers there's a car you pulled I ask officers there's a car you pulled over the person legally has a firearm in over the person legally has a firearm in over the person legally has a firearm in the car wouldn't you like to know it the car wouldn't you like to know it the car wouldn't you like to know it rather than Discover rather than Discover rather than Discover it yeah they could literally tell you it yeah they could literally tell you it yeah they could literally tell you you're on FaceTime effectively on a you're on FaceTime effectively on a you're on FaceTime effectively on a video call separated from each other and video call separated from each other and video call separated from each other and you like heads up and they could even you like heads up and they could even you like heads up and they could even hold up their permit and you could scan hold up their permit and you could scan hold up their permit and you could scan it and you can do all that from the it and you can do all that from the it and you can do all that from the safety of your car and it's recorded on safety of your car and it's recorded on safety of your car and it's recorded on both sides exactly exactly so from law both sides exactly exactly so from law both sides exactly exactly so from law enforcement there's a lot of bonuses to enforcement there's a lot of bonuses to enforcement there's a lot of bonuses to this there's safety there's identifying this there's safety there's identifying this there's safety there's identifying this information and and I'm in Florida this information and and I'm in Florida this information and and I'm in Florida I keep saying I'm taking best there's I keep saying I'm taking best there's I keep saying I'm taking best there's gonna be a Florida Man incident gonna be a Florida Man incident gonna be a Florida Man incident somebody's gonna get pulled over they're somebody's gonna get pulled over they're somebody's gonna get pulled over they're gonna have a third party come in and the gonna have a third party come in and the gonna have a third party come in and the third party G say Bob youve been third party G say Bob youve been third party G say Bob youve been drinking again yeah getting that heads drinking again yeah getting that heads drinking again yeah getting that heads up of what what am I getting into before

up of what what am I getting into before up of what what am I getting into before I step out onto the shoulder to your I step out onto the shoulder to your I step out onto the shoulder to your point is is super super important and point is is super super important and point is is super super important and that idea that came because some of your that idea that came because some of your that idea that came because some of your students said this is something that students said this is something that students said this is something that we're interested in exploring exactly we're interested in exploring exactly we're interested in exploring exactly and that a lot of our things are driven and that a lot of our things are driven and that a lot of our things are driven by news or incidents that affect them or by news or incidents that affect them or by news or incidents that affect them or their communities and things we care their communities and things we care their communities and things we care about and so it's my perspective do about and so it's my perspective do about and so it's my perspective do something about it speaking of doing something about it speaking of doing something about it speaking of doing something about it uh some academics something about it uh some academics something about it uh some academics write papers and I'm making a broad write papers and I'm making a broad write papers and I'm making a broad generalization here but you seem to be generalization here but you seem to be generalization here but you seem to be one that like you are compelled to one that like you are compelled to one that like you are compelled to create things and put them out there and create things and put them out there and create things and put them out there and make them available again with no make them available again with no make them available again with no disrespect to our paper writing academic disrespect to our paper writing academic disrespect to our paper writing academic colleagues and friends everything that colleagues and friends everything that colleagues and friends everything that you're doing has a very tactile we made you're doing has a very tactile we made you're doing has a very tactile we made it we shipped it we created the code and it we shipped it we created the code and it we shipped it we created the code and it is available is that did that happen it is available is that did that happen it is available is that did that happen on purpose absolutely yeah that that's on purpose absolutely yeah that that's on purpose absolutely yeah that that's by Design we wanted to again the lab by Design we wanted to again the lab by Design we wanted to again the lab model Chang the world we want to have model Chang the world we want to have model Chang the world we want to have impact and the things that we have impact and the things that we have impact and the things that we have expertise in as we understand The Human expertise in as we understand The Human expertise in as we understand The Human Condition we understand people we Condition we understand people we Condition we understand people we understand technology then they learn understand technology then they learn understand technology then they learn policy and they understand culture so if policy and they understand culture so if policy and they understand culture so if you you look at those things and you say you you look at those things and you say you you look at those things and you say well here's a problem what would be an well here's a problem what would be an well here's a problem what would be an intervention that could help even if it intervention that could help even if it intervention that could help even if it doesn't exists what would that look like doesn't exists what would that look like doesn't exists what would that look like I mean we created a virtual traffic stop

I mean we created a virtual traffic stop I mean we created a virtual traffic stop that didn't exist that didn't exist that didn't exist we we we invented that it is real you we we we invented that it is real you we we we invented that it is real you know we we can do those things I in the know we we can do those things I in the know we we can do those things I in the future many years from now I predict the future many years from now I predict the future many years from now I predict the virtual traffic stop is going to be virtual traffic stop is going to be virtual traffic stop is going to be integrated into every car it's just integrated into every car it's just integrated into every car it's just going to be in there and I I kind of going to be in there and I I kind of going to be in there and I I kind of tilted my head but at the same time I tilted my head but at the same time I tilted my head but at the same time I also have you know a GPS and dynamic also have you know a GPS and dynamic also have you know a GPS and dynamic maps and and and right and now I also maps and and and right and now I also maps and and and right and now I also have a pocket have a pocket have a pocket supercomputer uh my my my children and I supercomputer uh my my my children and I supercomputer uh my my my children and I were kind of looking at that that Meme were kind of looking at that that Meme were kind of looking at that that Meme that says here's what you had in your that says here's what you had in your that says here's what you had in your pocket in the '90s and it was like you pocket in the '90s and it was like you pocket in the '90s and it was like you know flashlights and cameras and video know flashlights and cameras and video know flashlights and cameras and video cameras and VHS tapes and now you have cameras and VHS tapes and now you have cameras and VHS tapes and now you have your phone and now we're on rolling your phone and now we're on rolling your phone and now we're on rolling computers effectively so we're connected computers effectively so we're connected computers effectively so we're connected we have cameras we have full support we have cameras we have full support we have cameras we have full support with our pocket supercomputers there's with our pocket supercomputers there's with our pocket supercomputers there's no reason that that couldn't happen in a no reason that that couldn't happen in a no reason that that couldn't happen in a car yep and it it keeps people safe and car yep and it it keeps people safe and car yep and it it keeps people safe and both sides and it documents the both sides and it documents the both sides and it documents the interaction so I I interaction so I I interaction so I I yes you're right we invent and we yes you're right we invent and we yes you're right we invent and we translate and deploy and we evaluate translate and deploy and we evaluate translate and deploy and we evaluate with relevant stakeholders in the with relevant stakeholders in the with relevant stakeholders in the relevant context that relevant context that relevant context that matters so applications Quest is matters so applications Quest is matters so applications Quest is happening right now there's also things happening right now there's also things happening right now there's also things happening in the space of brain computer happening in the space of brain computer happening in the space of brain computer interfaces we're also seeing uh some interfaces we're also seeing uh some interfaces we're also seeing uh some some billionaires and some other people some billionaires and some other people some billionaires and some other people out there who have ideas around how to out there who have ideas around how to out there who have ideas around how to do brain computer interfaces what what's do brain computer interfaces what what's do brain computer interfaces what what's your thinking about how we're going to

your thinking about how we're going to your thinking about how we're going to inter with our machines in the future inter with our machines in the future inter with our machines in the future yeah the brain computer interface or yeah the brain computer interface or yeah the brain computer interface or BCI in 2015 here at the University of BCI in 2015 here at the University of BCI in 2015 here at the University of Florida we held the world's first brain Florida we held the world's first brain Florida we held the world's first brain drone drone drone race we race drones with our thoughts so race we race drones with our thoughts so race we race drones with our thoughts so we you can go to brain drone we you can go to brain drone we you can go to brain drone race.com and look at the video some race.com and look at the video some race.com and look at the video some people saw it and said oh that's fake people saw it and said oh that's fake people saw it and said oh that's fake they didn't do that but we did it for they didn't do that but we did it for they didn't do that but we did it for real the reason we did it was uh you real the reason we did it was uh you real the reason we did it was uh you gonna love this the reason we did it gonna love this the reason we did it gonna love this the reason we did it because it was really cool to do that because it was really cool to do that because it was really cool to do that was one reason but the other reason we was one reason but the other reason we was one reason but the other reason we did it was to show that the BCI is legit did it was to show that the BCI is legit did it was to show that the BCI is legit it can be used what's the future again it can be used what's the future again it can be used what's the future again this is one of those things it's hard to this is one of those things it's hard to this is one of those things it's hard to say we have some thoughts on where we say we have some thoughts on where we say we have some thoughts on where we think BCI could go but we wanted to at think BCI could go but we wanted to at think BCI could go but we wanted to at least make it understood that it's a least make it understood that it's a least make it understood that it's a viable technology that people can use it viable technology that people can use it viable technology that people can use it now I wanted to turn people loose on it now I wanted to turn people loose on it now I wanted to turn people loose on it to go out and play with it and to go out and play with it and to go out and play with it and experiment with yeah it's been something experiment with yeah it's been something experiment with yeah it's been something that people have been trying to crack that people have been trying to crack that people have been trying to crack for a very very long time particularly for a very very long time particularly for a very very long time particularly the non-invasive part yeah you know some the non-invasive part yeah you know some the non-invasive part yeah you know some people say you got to go like human people say you got to go like human people say you got to go like human beings are big meat bags under pressure beings are big meat bags under pressure beings are big meat bags under pressure right and I'm a type 1 diabetic and I right and I'm a type 1 diabetic and I right and I'm a type 1 diabetic and I have an open source artificial pancreas have an open source artificial pancreas have an open source artificial pancreas and I have at least three holes in me and I have at least three holes in me and I have at least three holes in me from being poked by systems to get from being poked by systems to get from being poked by systems to get insulin in or to get data out and some

insulin in or to get data out and some insulin in or to get data out and some people say to do the brain computer people say to do the brain computer people say to do the brain computer interface you got to poke the meat bag interface you got to poke the meat bag interface you got to poke the meat bag get a needle into the brain but if we get a needle into the brain but if we get a needle into the brain but if we can do it from the can do it from the can do it from the outside whether it be like you could outside whether it be like you could outside whether it be like you could imagine an an earpiece or something with imagine an an earpiece or something with imagine an an earpiece or something with just a a single lead or a couple of just a a single lead or a couple of just a a single lead or a couple of leads it could completely change how we leads it could completely change how we leads it could completely change how we interact with our systems that plus AI interact with our systems that plus AI interact with our systems that plus AI things start getting really really things start getting really really things start getting really really interesting yes and and you know one of interesting yes and and you know one of interesting yes and and you know one of my former students actually did a my former students actually did a my former students actually did a dissertation on creating a sexy BCI dissertation on creating a sexy BCI dissertation on creating a sexy BCI designing things that people would want designing things that people would want designing things that people would want to wear uh oh I see so we looked at all to wear uh oh I see so we looked at all to wear uh oh I see so we looked at all aspects of it something fashionable that aspects of it something fashionable that aspects of it something fashionable that you would not be you like this is a dork you would not be you like this is a dork you would not be you like this is a dork because there was there's a number of because there was there's a number of because there was there's a number of people out there who've been wearing people out there who've been wearing people out there who've been wearing helmets on campus and that may not be helmets on campus and that may not be helmets on campus and that may not be something that's going to break into uh something that's going to break into uh something that's going to break into uh exactly exactly exactly es so think exactly exactly exactly es so think exactly exactly exactly es so think about it for women with hair so how do about it for women with hair so how do about it for women with hair so how do you incorporate a BCI we we did work on you incorporate a BCI we we did work on you incorporate a BCI we we did work on that very very cool it sounds like that very very cool it sounds like that very very cool it sounds like there's some amazing stuff happening at there's some amazing stuff happening at there's some amazing stuff happening at the Computing for social good lab down the Computing for social good lab down the Computing for social good lab down there at the University of Florida yes there at the University of Florida yes there at the University of Florida yes we think so fantastic well thank you so we think so fantastic well thank you so we think so fantastic well thank you so much Dr Juan Gilbert for chatting with much Dr Juan Gilbert for chatting with much Dr Juan Gilbert for chatting with us today thank you for having me you can us today thank you for having me you can us today thank you for having me you can learn all about the great work that learn all about the great work that learn all about the great work that they're doing at Computing foro good.com they're doing at Computing foro good.com they're doing at Computing foro good.com explore the research explore the people explore the research explore the people explore the research explore the people and learn more about the work that and learn more about the work that and learn more about the work that they're doing at the lab this has been they're doing at the lab this has been they're doing at the lab this has been another episode of Hansel minutes in another episode of Hansel minutes in another episode of Hansel minutes in association with the a CM bite cast association with the a CM bite cast association with the a CM bite cast we'll see you again next week

we'll see you again next week we'll see you again next week [Music]