Transcripts For CSPAN3 Calvin 20240704 : vimarsana.com

We document american story and on nday, book tv brings you the latest. Funding for cspan two comes from this and more. Including this. Welcome. How is everybody doing . , everybody having a good time . How is the food . The drink . All right, i see a lot of smiling faces. That is fantastic. This is a historic event. Nothing like this has ever happened before when it comes to books. This book is based on technology, is also based on business, and at the same time it is based on social consciousness. This type of and ive seen plenty of them, has never been written before. That is a grand feat, right . That is fantastic. For those of you that i have not introduced, my name is tony smith. We can put a senior on the end. I helped create the internet and i helped create the laptop computer, i helped create online banking, and you know today. Also, i heard that. Also, i created the Software Architecture profession which has rolled out to multiple companies worldwide. Technology and nontechnology companies. Im also the author of inter oneonone and approach to making mentors that or mentors. That takes me to my next point, my last point on this. Not sprinkle activism across all of that. Starting from college, i have always challenge the system, i have always challenged that in 1979 when i first learned what computer is and what it does. I was trying to stop clicking, i couldnt. I tried to retire, i couldnt. I had interesting conversations. Very articulate, very passionate, very visionary person, im not going to name you. This is back in 2013. At that point in time, there wasnt a imodel cord watson. Not sure if you remember, guess what . Watson beat chess pro. Watson won in jeopardy. This individual and i, we were having a conversation about that, we just happen to be in the same city for a customary bit. We said, i wonder if watson would have won in jeopardy if there had been more categories about people that look like us. Because when we were coming up through the industry, they were few and far between. So, that brings us to this individual, here we go, 2013. A year and a half ago, guess what . Im going to write a book. I said okay. What is going to be about . He said, hey i bias. At that point in time, i thought, does he understand what he is getting into . Because there are ramifications for stepping out like that, i felt it. My family has felt it, the around shuns to doing this. But, he was serious he said not me, then who . And he said if not now, then when . I said he said, i want you to help me. Im supposedly retired. I said, of course. I cant tell you the number of times that i have had for the same, time he has helped me. He definitely is a person of vision, when he was, he understood where java was going. All of you who have cell phones, he had java and is operating system. So, guess what, he was learning. He became one of the best computer programmers, java programmers in the world, bar none. Hes also been active in his community and he has continued to demonstrate that, guess what . Even though i may not be as demonstrative as you are, i understand it. I am doing. I cant say enough. Also, one last thing. There are only a few people worldwide who can write a book like this. Because they dont have those three values that i said. Believe me, just a few. Kelvin was the right one. Now, before i start getting hooked, please enjoy the rest of the program. And thanks for coming out. [applause] in this book, calvente lawrence, a distinguished engineer and program slowly pulled that covers on why Artificial Intelligence for technology professionals, deploying Artificial Intelligence technology and for those who want to understand what will be happening, the book is enough. Mr. Lewis shares information about Data Products how i ah [inaudible] uti the home of the brave and free. The land of liberty, the land will my father stood. , he let freedom win. Let freedom reign. Learn how [inaudible] generating algorithms. In the book, you will see where the robots can easily save how long the stay in the mcdonalds line says [inaudible] [inaudible] preorder and reserve a copy right now, the look will be available on amazon, barnes noble, and audible. A major winter. Tuesday republican los angeles, california. The most populous sadie in the united states. Fortune 60 square meters, nearly 4 million residents and fewer than 10,000 Police Officers warn to protect and serve. Keeping orders a fulltime job. Putting officers in the right place at the right time. Police captains like Sean Malinowski and other Police Across the country are turning to a new task to help stop crime before it happens. It is called predictive policing. It calculates for the next 12 hours in the future what areas have the highest probability of crime. What we do is provide that information to officers in the officers go out and try to prevent the crime. The Predictive Policing Program didnt come of a police academy. His research trying to predict where and when crime is most likely to happen. I have the as hideous, really unpredictable, you can study Human Behavior program patterns come from. With funding from the National Science foundation, anthropology possession teamed up with this professor and others to analyze crime patterns and develop computer models to simulate global behavior. Their crime production what is taken from the same algorithm used to predict earthquakes and aftershocks. Once an event happens, it is triggering another event. You can buy this idea, you can apply it to burglaries, you can apply to the field. Activities where this ideas very relevant. Thousands of pieces of crime data from the lapd, including location, times, and dates are processed by the Software Program known as fred poll. It calculates and predicts potential criminal activity in the area first time. The Police Department in a way allows them to utilize this in a fashion. At roll call in the area of los angeles, where ucla test of the program in 2011. Focusing them. They received map showing the areas of predicted activity for next shift. Red boxes on the map highlight the hotspots, various measuring 500 feet by 500 feet that will require extra polls. The officers know that the highest probability areas, looking for crimes to be committed. We have to get in there and disrupt the crimes occurring or deny the criminal the opportunity to commit a crime. Thats what happened in 2011. Officers were patrolling the hot spot, putting them in the right place at the right time to stop and assault. We are able to solve the crime in progress before we get worse. We are helping police by time or giving them the best data mathematical models and algorithms to take the data from yesterday and today and figure out what is gonna happen tomorrow. With mathematics and social sciences, please have a new weapon in their arsenal. Helping not only to protect and serve, but also to predict the crime before happens. Wow. This is the kind of world we live in now, right . Right now, were gonna have a panel and i would like for randy to come up. Randy, our steam guest is the publisher for Computer Science at worldwide publisher. [applause] next, id like to have any come up. Bernie is a cultural reporter. Hes also an author. This is his book. [applause] and then of course we have got [applause] there you go, there you go. We are just about ready. [inaudible] mr. Calvin lawrence. [applause] would you just tell them a little bit about yourself . Hi, im the publisher for Computer Science. Its been a joy to work with calvin on his book. And goody everyone, im ernie. Im also asian author of last year this time, which is the local bookstore. [applause] ill turn over to our moderator. Thank you very much. This is a wonderful so were gonna have a great time. Weve never q a of course. Were gonna talk for about 45 minutes. So calvin, i want to start with you. First of all, how does it feel, this is your first book. How is the process for you, how do you feel about what is happening . I feel thankful, first of all. Thankful that my book came out. What i think to be kind of a wonderful moment. I feel relieved. It is been a long time. The book has taken a long time. I actually havent written a book like this, ive written articles and pieces of books, but i have a deep appreciation to you and everyone else on this journey. So im relieved this comes to mind. The first thing i ask is, this video one is that a. I. Is everywhere. And the second is, so really fearful of this . I dont think so. I mean, im a huge fan of a. I. , of the last ten years or so. So much of what you kind of make, ive had my hands on it. I believe that we just need to have proper guardrails. They are is a fantastic tool. Whether we like it or not, everything we do is a. I. Everything, were not gonna build to get around with it. Every Company Wants to, it allows companies to be more efficient. They allowed them to say money and do things better, and you knew things that they have done before. We will always have it. But like the videos, like i talk about, we just have to be conscious and conscientious of the fact that i have not properly. That is my position, i stand by it. [laughter] i want to talk about the book. First, interesting the title of the book. I and systemic racism. How did that title camilla . That is a funny story. My family, i went back and forth on titles. That was the first title. The second title, or subtitle was, why that was the subtitle that i presented with. So it might be a big question. To be quite honest, i want the title to feel i want to be edgy, i want to make it sure that most corporations [inaudible] most people say that i can be biased. I dont know anybody in Corporate America who doesnt attest to that fact. It is a known fact. And i actually think the difference between my perspective and some other perspective in Corporate America is that most people would say it is bias because it is racial. I say that you. But i think its bias because we live in a biased world. We live in a cultural biased word and we have a lot of diversity and technology, we all know it. Theres not a lot of when you have a lack of diversity and youre living in a cultural melting pot, and environment theres a chance that our technology will. The purpose of a. I. Is meant to mimic our behavior, and make it more efficient so if thats the case, we are biased people, and we live in a biased world. Obviously bias will seep into our technology. That is kind of, that was my position and perspective. So brandt, were listening to the title. Were you afraid to publish a . Why did you publish it . Absolutely not afraid. The title, the subtitle was a little bit it put me off a little bit in the beginning. Only because i wanted the book to have a global reach and i felt like a i scared people. Its american, very american. We wanted it to be able to reach a global audience. That is how [inaudible] Everybody Knows here im glad, im absolutely glad that i did do that. Were not scared of publishing the book, actually our Publishing Companies have published a lot of books on systemic racism so it fits into the scope of what we were doing. I think my main hesitation, to make sure i gave calvin the best publishing opportunity to reach the biggest audience, i think there are discussions around that. It is the main hesitation. But because we are primarily and academic publisher, but we do publish professional books and books that are for general readers so we negotiated and we came to im very glad we did. Talk a little bit about social justice. How has your work and what youve done in publishing, how is the social justice aspect played into a eye . Why are they important . Well, its really important because of issues and i. That stuff is talked about a lot. You can hear a lot of technical, we had a lot of technical books on a. Work with a are in business, and different technical aspects. Theres not really any thing that gets into the issues about systemic racism, a bias, and all of the responsible a, all those issues. The things that i like the most about kevins book is that he is a storyteller, first and foremost. He interests the story of his own life and people that he actually knows on how a. I. Has impacted them in a bad way. And so that was something that really appealed to me. Something very unique. Calvin, without giving away give us a little bit about what the book is about. The book really was meant to be quite honest with you instantly, it was meant to be a book about where this is, those stories that our communities, they understand they understand predictive policing so i told in the book about my own story around predictive leasing, how i basically was found one evening physically on the side of the street with a black tie. It ended up being in a protective policing zone and i got pulled over and the question to me was, i obviously when you go internet hood im not suggesting thats a good thing or bad thing, but those things happen by accident. [inaudible] for them, the book was initially for people of color who have an awareness, telling the story. Okay, designers and technology tried to unveil it. It is happening to me. Or people like me, and then it evolves. [inaudible] find an audience right to that audience. Corporate america is consciously daft. They are paying and i asked government officials in policymakers, different audiences, different audience from people of color to designers, to Corporate America, to policy makers and government officials. I think we all have perspective. We know about, if we know about it then it can raise the flag and then i see in the book, ive never met a i [inaudible] say in the book, im not racist, i wasnt even thinking about, i wasnt even looking at it from a perspective of that. I dont blame anybody, i think there is an awareness for all of us. Im a english major, all of this is new to me. How specifically is how specifically does a i approach racism . How does it i tell the story in the book in a different way, from a banking perspective. Typically, we have all applied for a loan before. We know how to get a loan. If you have a credit score, you pretty much are good. You got a good job, you kind of know this three or four things. You are who you say you are, you have what you say have. We kind of know that. Thats the human process. You have someone who is finding it. You kind of need those four things. Thousands of so, it is making decisions that the it can be more than those four things. He wants to use as many things because he wants to make sure that they dont give alone to someone whos talking to payback. So what we do in banking is we create a lens score. Traditionally, it is based on four things that we talked about. But with a, i can be based on [inaudible] you had a fellow living with you, your cousin is living with you. He has gone to jail. But jail has nothing to do with your ability to pay back the loan. We bring in tilt people, they literally can take in data and say, you have a brother living with you. Your score [inaudible] you are in bad areas. You have bad company. Traditionally, we will know about. That with a. I. , you would necessarily know it. The bank is not im not suggesting that i would do that. Im saying i has impacted your ability to do that. With used by this. In banking, you want to have people money, you want people money and pay back. That is what they do with all the information they get. And again, i have the ability to do that. Everything you can think of. I want to go into the ethics of this. You talk about predict the policing. I was covering the atlanta Police Department when they started they called it what is wrong i guess my question is this, for those of you who live a lot of stuff is going on. A lot of stuff goes on everywhere. So, what is wrong with predicting policing if it is helping to fight crime . I dont think anything is wrong with it per se, per se. We all live in a neighborhood. We all want to live in a safer community. But i say this, and i dont know if they use the scenery in the book or not but, when you are driving down the road, and police are in your neighborhood, [inaudible] it is not just the people and you are not doing crimes or they are not speeding, but obviously, theyre gonna see more, catch more. Policing at its core i mean, im probably going to be im just suggesting as i had throughout the book that nothing is wrong with this. Its a great opportunity. Of saying is that we should have an awareness and we have predictive policing although in the book, i do. But the reality of the system, they feel they dont spend a lot of time trying to figure out if its a virus or not. I think it is important. What makes an application bias there are things are always make it bias. Misrepresented around the represent data. We train these algorithms to do what they do. If you have a representative model in the environment, i think that you could use an example in the book where, and they are already, i have five black chili beans in the pack, i go in the bag and i reached down, it is pretty obvious its probably not gonna be a black one. We train it with data and you dont have people that look like us. You are taking Clinical Trial data and making that, well to be quite honest, black people to participate that little thing, everyone is scared us away from that. So if you are feeding data into a health care algorithm and your plain Clinical Trial data, then honestly, its going to be , heck, we all want to know those kinds of things. But we also want to be doing it thoughtfully. So, thats my position. I want to ask both of you. You mentioned, calvin, what at the core stops a. I. . For me, it is about trust. We work with the systems every day, that are part of our daily lives, we get trust from. The ethical and responsible are actually putting members of our community. That is the big problem. But the thing i like most about kevins book is he talks about the problem, he talks about the actual solutions. Not saying that this is something bad, is bad. He says, this is the problem. These are the solutions that we can actually implement and policy problems. That is really the key thing that appealed to me about kevins book. But i think for me it is about trust. You can trust the systems if you know that they have bias, or they have issues. Something needs to be done to address that. For me, it is trust. Awareness. I think because we know we build technology, and we know technology its about awareness. Responsible Software Architecture<\/a> profession which has rolled out to multiple companies worldwide. Technology and nontechnology companies. Im also the author of inter oneonone and approach to making mentors that or mentors. That takes me to my next point, my last point on this. Not sprinkle activism across all of that. Starting from college, i have always challenge the system, i have always challenged that in 1979 when i first learned what computer is and what it does. I was trying to stop clicking, i couldnt. I tried to retire, i couldnt. I had interesting conversations. Very articulate, very passionate, very visionary person, im not going to name you. This is back in 2013. At that point in time, there wasnt a imodel cord watson. Not sure if you remember, guess what . Watson beat chess pro. Watson won in jeopardy. This individual and i, we were having a conversation about that, we just happen to be in the same city for a customary bit. We said, i wonder if watson would have won in jeopardy if there had been more categories about people that look like us. Because when we were coming up through the industry, they were few and far between. So, that brings us to this individual, here we go, 2013. A year and a half ago, guess what . Im going to write a book. I said okay. What is going to be about . He said, hey i bias. At that point in time, i thought, does he understand what he is getting into . Because there are ramifications for stepping out like that, i felt it. My family has felt it, the around shuns to doing this. But, he was serious he said not me, then who . And he said if not now, then when . I said he said, i want you to help me. Im supposedly retired. I said, of course. I cant tell you the number of times that i have had for the same, time he has helped me. He definitely is a person of vision, when he was, he understood where java was going. All of you who have cell phones, he had java and is operating system. So, guess what, he was learning. He became one of the best computer programmers, java programmers in the world, bar none. Hes also been active in his community and he has continued to demonstrate that, guess what . Even though i may not be as demonstrative as you are, i understand it. I am doing. I cant say enough. Also, one last thing. There are only a few people worldwide who can write a book like this. Because they dont have those three values that i said. Believe me, just a few. Kelvin was the right one. Now, before i start getting hooked, please enjoy the rest of the program. And thanks for coming out. [applause] in this book, calvente lawrence, a distinguished engineer and program slowly pulled that covers on why Artificial Intelligence<\/a> for technology professionals, deploying Artificial Intelligence<\/a> technology and for those who want to understand what will be happening, the book is enough. Mr. Lewis shares information about Data Products<\/a> how i ah [inaudible] uti the home of the brave and free. The land of liberty, the land will my father stood. , he let freedom win. Let freedom reign. Learn how [inaudible] generating algorithms. In the book, you will see where the robots can easily save how long the stay in the mcdonalds line says [inaudible] [inaudible] preorder and reserve a copy right now, the look will be available on amazon, barnes noble, and audible. A major winter. Tuesday republican los angeles, california. The most populous sadie in the united states. Fortune 60 square meters, nearly 4 million residents and fewer than 10,000 Police Officers<\/a> warn to protect and serve. Keeping orders a fulltime job. Putting officers in the right place at the right time. Police captains like Sean Malinowski<\/a> and other Police Across<\/a> the country are turning to a new task to help stop crime before it happens. It is called predictive policing. It calculates for the next 12 hours in the future what areas have the highest probability of crime. What we do is provide that information to officers in the officers go out and try to prevent the crime. The Predictive Policing Program<\/a> didnt come of a police academy. His research trying to predict where and when crime is most likely to happen. I have the as hideous, really unpredictable, you can study Human Behavior<\/a> program patterns come from. With funding from the National Science<\/a> foundation, anthropology possession teamed up with this professor and others to analyze crime patterns and develop computer models to simulate global behavior. Their crime production what is taken from the same algorithm used to predict earthquakes and aftershocks. Once an event happens, it is triggering another event. You can buy this idea, you can apply it to burglaries, you can apply to the field. Activities where this ideas very relevant. Thousands of pieces of crime data from the lapd, including location, times, and dates are processed by the Software Program<\/a> known as fred poll. It calculates and predicts potential criminal activity in the area first time. The Police Department<\/a> in a way allows them to utilize this in a fashion. At roll call in the area of los angeles, where ucla test of the program in 2011. Focusing them. They received map showing the areas of predicted activity for next shift. Red boxes on the map highlight the hotspots, various measuring 500 feet by 500 feet that will require extra polls. The officers know that the highest probability areas, looking for crimes to be committed. We have to get in there and disrupt the crimes occurring or deny the criminal the opportunity to commit a crime. Thats what happened in 2011. Officers were patrolling the hot spot, putting them in the right place at the right time to stop and assault. We are able to solve the crime in progress before we get worse. We are helping police by time or giving them the best data mathematical models and algorithms to take the data from yesterday and today and figure out what is gonna happen tomorrow. With mathematics and social sciences, please have a new weapon in their arsenal. Helping not only to protect and serve, but also to predict the crime before happens. Wow. This is the kind of world we live in now, right . Right now, were gonna have a panel and i would like for randy to come up. Randy, our steam guest is the publisher for Computer Science<\/a> at worldwide publisher. [applause] next, id like to have any come up. Bernie is a cultural reporter. Hes also an author. This is his book. [applause] and then of course we have got [applause] there you go, there you go. We are just about ready. [inaudible] mr. Calvin lawrence. [applause] would you just tell them a little bit about yourself . Hi, im the publisher for Computer Science<\/a>. Its been a joy to work with calvin on his book. And goody everyone, im ernie. Im also asian author of last year this time, which is the local bookstore. [applause] ill turn over to our moderator. Thank you very much. This is a wonderful so were gonna have a great time. Weve never q a of course. Were gonna talk for about 45 minutes. So calvin, i want to start with you. First of all, how does it feel, this is your first book. How is the process for you, how do you feel about what is happening . I feel thankful, first of all. Thankful that my book came out. What i think to be kind of a wonderful moment. I feel relieved. It is been a long time. The book has taken a long time. I actually havent written a book like this, ive written articles and pieces of books, but i have a deep appreciation to you and everyone else on this journey. So im relieved this comes to mind. The first thing i ask is, this video one is that a. I. Is everywhere. And the second is, so really fearful of this . I dont think so. I mean, im a huge fan of a. I. , of the last ten years or so. So much of what you kind of make, ive had my hands on it. I believe that we just need to have proper guardrails. They are is a fantastic tool. Whether we like it or not, everything we do is a. I. Everything, were not gonna build to get around with it. Every Company Wants<\/a> to, it allows companies to be more efficient. They allowed them to say money and do things better, and you knew things that they have done before. We will always have it. But like the videos, like i talk about, we just have to be conscious and conscientious of the fact that i have not properly. That is my position, i stand by it. [laughter] i want to talk about the book. First, interesting the title of the book. I and systemic racism. How did that title camilla . That is a funny story. My family, i went back and forth on titles. That was the first title. The second title, or subtitle was, why that was the subtitle that i presented with. So it might be a big question. To be quite honest, i want the title to feel i want to be edgy, i want to make it sure that most corporations [inaudible] most people say that i can be biased. I dont know anybody in Corporate America<\/a> who doesnt attest to that fact. It is a known fact. And i actually think the difference between my perspective and some other perspective in Corporate America<\/a> is that most people would say it is bias because it is racial. I say that you. But i think its bias because we live in a biased world. We live in a cultural biased word and we have a lot of diversity and technology, we all know it. Theres not a lot of when you have a lack of diversity and youre living in a cultural melting pot, and environment theres a chance that our technology will. The purpose of a. I. Is meant to mimic our behavior, and make it more efficient so if thats the case, we are biased people, and we live in a biased world. Obviously bias will seep into our technology. That is kind of, that was my position and perspective. So brandt, were listening to the title. Were you afraid to publish a . Why did you publish it . Absolutely not afraid. The title, the subtitle was a little bit it put me off a little bit in the beginning. Only because i wanted the book to have a global reach and i felt like a i scared people. Its american, very american. We wanted it to be able to reach a global audience. That is how [inaudible] Everybody Knows<\/a> here im glad, im absolutely glad that i did do that. Were not scared of publishing the book, actually our Publishing Companies<\/a> have published a lot of books on systemic racism so it fits into the scope of what we were doing. I think my main hesitation, to make sure i gave calvin the best publishing opportunity to reach the biggest audience, i think there are discussions around that. It is the main hesitation. But because we are primarily and academic publisher, but we do publish professional books and books that are for general readers so we negotiated and we came to im very glad we did. Talk a little bit about social justice. How has your work and what youve done in publishing, how is the social justice aspect played into a eye . Why are they important . Well, its really important because of issues and i. That stuff is talked about a lot. You can hear a lot of technical, we had a lot of technical books on a. Work with a are in business, and different technical aspects. Theres not really any thing that gets into the issues about systemic racism, a bias, and all of the responsible a, all those issues. The things that i like the most about kevins book is that he is a storyteller, first and foremost. He interests the story of his own life and people that he actually knows on how a. I. Has impacted them in a bad way. And so that was something that really appealed to me. Something very unique. Calvin, without giving away give us a little bit about what the book is about. The book really was meant to be quite honest with you instantly, it was meant to be a book about where this is, those stories that our communities, they understand they understand predictive policing so i told in the book about my own story around predictive leasing, how i basically was found one evening physically on the side of the street with a black tie. It ended up being in a protective policing zone and i got pulled over and the question to me was, i obviously when you go internet hood im not suggesting thats a good thing or bad thing, but those things happen by accident. [inaudible] for them, the book was initially for people of color who have an awareness, telling the story. Okay, designers and technology tried to unveil it. It is happening to me. Or people like me, and then it evolves. [inaudible] find an audience right to that audience. Corporate america is consciously daft. They are paying and i asked government officials in policymakers, different audiences, different audience from people of color to designers, to Corporate America<\/a>, to policy makers and government officials. I think we all have perspective. We know about, if we know about it then it can raise the flag and then i see in the book, ive never met a i [inaudible] say in the book, im not racist, i wasnt even thinking about, i wasnt even looking at it from a perspective of that. I dont blame anybody, i think there is an awareness for all of us. Im a english major, all of this is new to me. How specifically is how specifically does a i approach racism . How does it i tell the story in the book in a different way, from a banking perspective. Typically, we have all applied for a loan before. We know how to get a loan. If you have a credit score, you pretty much are good. You got a good job, you kind of know this three or four things. You are who you say you are, you have what you say have. We kind of know that. Thats the human process. You have someone who is finding it. You kind of need those four things. Thousands of so, it is making decisions that the it can be more than those four things. He wants to use as many things because he wants to make sure that they dont give alone to someone whos talking to payback. So what we do in banking is we create a lens score. Traditionally, it is based on four things that we talked about. But with a, i can be based on [inaudible] you had a fellow living with you, your cousin is living with you. He has gone to jail. But jail has nothing to do with your ability to pay back the loan. We bring in tilt people, they literally can take in data and say, you have a brother living with you. Your score [inaudible] you are in bad areas. You have bad company. Traditionally, we will know about. That with a. I. , you would necessarily know it. The bank is not im not suggesting that i would do that. Im saying i has impacted your ability to do that. With used by this. In banking, you want to have people money, you want people money and pay back. That is what they do with all the information they get. And again, i have the ability to do that. Everything you can think of. I want to go into the ethics of this. You talk about predict the policing. I was covering the atlanta Police Department<\/a> when they started they called it what is wrong i guess my question is this, for those of you who live a lot of stuff is going on. A lot of stuff goes on everywhere. So, what is wrong with predicting policing if it is helping to fight crime . I dont think anything is wrong with it per se, per se. We all live in a neighborhood. We all want to live in a safer community. But i say this, and i dont know if they use the scenery in the book or not but, when you are driving down the road, and police are in your neighborhood, [inaudible] it is not just the people and you are not doing crimes or they are not speeding, but obviously, theyre gonna see more, catch more. Policing at its core i mean, im probably going to be im just suggesting as i had throughout the book that nothing is wrong with this. Its a great opportunity. Of saying is that we should have an awareness and we have predictive policing although in the book, i do. But the reality of the system, they feel they dont spend a lot of time trying to figure out if its a virus or not. I think it is important. What makes an application bias there are things are always make it bias. Misrepresented around the represent data. We train these algorithms to do what they do. If you have a representative model in the environment, i think that you could use an example in the book where, and they are already, i have five black chili beans in the pack, i go in the bag and i reached down, it is pretty obvious its probably not gonna be a black one. We train it with data and you dont have people that look like us. You are taking Clinical Trial<\/a> data and making that, well to be quite honest, black people to participate that little thing, everyone is scared us away from that. So if you are feeding data into a health care algorithm and your plain Clinical Trial<\/a> data, then honestly, its going to be , heck, we all want to know those kinds of things. But we also want to be doing it thoughtfully. So, thats my position. I want to ask both of you. You mentioned, calvin, what at the core stops a. I. . For me, it is about trust. We work with the systems every day, that are part of our daily lives, we get trust from. The ethical and responsible are actually putting members of our community. That is the big problem. But the thing i like most about kevins book is he talks about the problem, he talks about the actual solutions. Not saying that this is something bad, is bad. He says, this is the problem. These are the solutions that we can actually implement and policy problems. That is really the key thing that appealed to me about kevins book. But i think for me it is about trust. You can trust the systems if you know that they have bias, or they have issues. Something needs to be done to address that. For me, it is trust. Awareness. I think because we know we build technology, and we know technology its about awareness. Responsible Artificial Intelligence<\/a>, people who are building it, people who are it could be dangerous if they dont go the extra mile [inaudible] and do what they need to do. [inaudible] in order to solve this problem, it takes more development time, you cant necessarily speed it up. You have to be conscious and cognizant of the fact. Awareness, were all involved. I think if you have more diversity at the table when you are developing. Because, you talk about this a lot in the book. Right now, a lot of people are developing the system. That is the key thing. How do you get more people of color . Certainly, i think you look at this audience here, a lot of people we come from [inaudible] we all get back, everybody in this room were trained from the time we were coming up in the industry. Giving more people, more people of color and the science. [inaudible] as opposed to just for me, you are going to make more money. But the reality of his now, getting everybody at the table is important. I said this in the book, its not just getting people of color at the table, you have to get the right people of color at the table. That is the big thing. You have to get people at the table that are willing to stand up and willing to say it is wrong. One in 20 people are saying something, and you are not willing to say anything, you might as well not be at the table. So, thats my thought on that. With this being your first book, i know for spokes take forever to right, was there a moment, you probably had this idea for a while. Was there a moment when you said, whoa, im going to do this . Was there a spark . This is something that i need to do right now. Yeah, i think there was. For me it was a healthier incident. I had an epiphany after i had my health scare, my heart issue. It had a lot to do with, to be quite honest, i think i wouldve written this book 25 years ago, i probably would not have written it ive always known and wanted to speak up and write a book. [inaudible] but, that was the intensity that made me say hey, now is the time. And then i thought, like she said, its not now, but when . I just wrote the first two chapters, and then after i wrote the first two chapters, it started going. And then it got published. I was going to self publish, i wasnt i really didnt think that a publisher would want to hear what i had to say. I was going to be so i was thankful that to be quite honest, the book was halfway done. Almost done, and a couple people at work basically introduced me to randy and we kind of went from there, id about four or five different publishers and then after that. I didnt Pierre Francis<\/a> has the publishing company. I still like thats just the truth. After talking to her, she seems to be these type of person, i found out afterwards that it was she cares about this topic. She really cares about this topic. I selected her as opposed to the publishing company. If you ever do want to write a book and you end up working with the right and there, you find the editor that if you have the same experience to support you and is passionate, i think really makes a difference. What is the reception bannon do you have any pushback . We do not have any pushback as of yet. But except weve done some ads on facebook and some racist people. Theyre facebook stuff. But beyond that weve actually gotten really positive perceptions, lots of press positive press. Actually, i just got back from the uk today. And i sat down a with one of the leading uk journalists. And he wrote a really nice review of the book on this website. Yeah. Its already starting to and i think that is interesting cause i suppose hoping for in the beginning. That this would be this is not just an American Issue<\/a>, obviously. You talked about how the title, the original title was too limited to american thought. And the global reach of this is naturally absolutely. So, how this is like what i said earlier. A. I. Is everywhere. So is this an American Issue<\/a> that we need to get a hold of or is it something that all countries nominations have going on . Its definitely a global issue, and talking to this journalists the okay government in particular interested in this topic in a lot of policy happening around a high ethics and bias. I hope kevins book will start to influence, and actually a british publishers primarily a like a big american sites. We do a lot of policy outreach. Calvin can help us with some of that. Policy makers in the uk and also in the u. S. So, talk about that. I think this one of the issues that people are careful of like what is the government going to control and what is the government going to regulates. Are you seeing anything . I think included it is against any of them. We got our and mortgage discrimination. Blah blah blah. Yeah in the latest guy is no law. So congress has come out with their a. I. Bill of rights. And i believe rights with so i, mean im interested in how something to look at what they have been what i have. The key for me is not necessarily just a bill of rights. But the policy. I think thats the key. To have an actual law on the books that enforces. Otherwise its gonna be very difficult for them even if they come out with poll bill of rights if he will. Itll be very difficult for fans if you dont have you mentioned alexa. I have to. Alexis when appearing one down here. Cafeteria has changed my but you mentioned how where was listening to it. Always listening to it. And i was on instagram the other day and i saw, following the travel quarter talking about how and parts of the airport i guess they were across the country has a recognition in just raised breaks the line. The comments were talking about how this should not to do it because theyve got all your stuff and they have everything. The thing is they already had everything. So talk a little bit about just how it is so pervasive that they have basically a, its almost as if the train is already going. But they have everything. Yeah. Absolutely. I agree. I know i also want to skip the line. Literally putting my in that Little Machine<\/a> and have them look at that. Raising the front of the line. Its data collection. And again, these are all applications. They are great applications. Its just that when you build, them each have representative data and you need to be considerate of who right . And i think sometimes people get caught up and say, you dont like. I know, i love a. I theyre saying. I know, im just trying to question whether or not basically a with regards to what i see with regards to the misrepresented thing. But you, now going back to alaska i have a subtitle in the book, i got that for my grandma. People would pretend they are asleep. They are not really sleep, theyre listening to you. When you think about alexa just from the of it you know that when you say alexa is going you wake up like, had to be listening in order to wake up. There is no want to wake up. There are some where the can be said. We know we keep it and we see an example of where government officials dont stop real bad they go and go through and say i want to look at that box and want to pull back and we decided these systems are always online the daughter is you can tweet all you want be doesnt go anywhere just because you julia dont just assume gnome for those of us your program. We turned the flag off line, its still there. You cant see the data because were turn kind of blasting up. The date is still, there somebody wants to see it at some point they can. The same, concept right, kind of a global mindset in regards to these are not bad things. Its just like, is a bad thing. They did when the neighbors came out, but i must would go without selfisolate. We are willing to incur the risk associated with it. So i think were about one more overarching question. Touching a little bit. Why are black people afraid of a. I. . Black people specifically, more than white people . Why are we specifically, i guess thats in the book, why it is i like to think that were not afraid of any more so than we are afraid of any technology and i surely dont be afraid of it. Nothing to fear, respect. We live in the society. And i say in the book, stop them so long like murphys law they could go terribly wrong. The when it goes wrong it goes wrong for other people, terrible in my life. That innocence is not a fear but it is a consequence that we all have we should not have when are conscious that we go to the bank and get the line and should have gotten a pool and they were where they wanted to call off its okay to go along the bottom of the officer doesnt know you can challenge the system and tell me exactly what happened so many times they dont know what happened and weve seen an example i know in thebook they take it along they go back to an awareness. The thing i know people of color is we had for me is just my opportunity to bring some awareness that i was also familiar with. You and i. Please just ask questions. A whole rick royal. Any questions . Yes, sir. [inaudible] from a publishers standpoint it was a video supposed to reach that same thing . I was going to a situation where i was like about nobody. How have you all had to reach this . Difficult to reach the audience in general nowadays. There are not as receptive. Theyre not as receptive to, books as maybe other forms of media. What my hope actually is i like this book to ultimately be used to the course to target and other universities to be part of the Computer Science<\/a> curriculum for ethics. There will be a great way for us to get the message out, hopefully. Thats our goal. Any other questions . Im sorry. We have the mic . My name is state riley, my Business Partners<\/a> in here. We will say that this is a key to adversity, and calvin stopped three weeks ago. Talking about diversity in Clinical Trial<\/a>s. The secrecy of the drugs dont really fix that because were not in a Clinical Trial<\/a> can speak to that a little bit. I alluded to it earlier we had a i models with data. Health care rise, a no better source of data then Clinical Trial<\/a>s. Theyve been doing that for years and years and years. South, the idea behind them is that were going to see a model for or to recommend stuff. And there is a Clinical Trial<\/a> that we knew dont look like us. They have a good chance that the recommendation is a protection. So it might not be. Ill use the word might. It might not be representative of the outcome. That we expect. Or even that the health care provider. I mean, i dont think the Health Care Providers<\/a> perspectives are negative and they dont know what the data looks like either. Any more so than we do. Thank you. Yes, maam. Hold on. Earlier yao said the developers were not to blame. But the question is does this quite a conflict for you . As a developer grading in the books, thats kind of what you do. So is there a conflict with that . Great question. I, mean absolute lay their, is right . Its a challenge for me to be quite honest. The more than one reason. I am not afraid. I am. I know we are scared about this topic. Because nancy anything in the book that does not show, i dont see anything in the book when they find out the others are not fans. I just thought people were saying it dont look like me or feel like me and dont feel my pain and dont know my experience. So therefore, i dont feel as are done anything wrong. But in regards to your question, absolutely it is the sauce, right. And again im about 25,000 kids in school. I probably would not have written this book but now im not 25. Im double that age. So, for me if you cant speak to its a point in your life and when can you do it . To your point, yeah its absolutely does. I dont know where are in regards to working. Still working Corporate America<\/a>. I wanted to be working in Corporate America<\/a>. Right. I still work around a. I. And i still build code. And again, i think that the key is for me that nobody should be afraid. You go to the lengths and on social media. Everybody is speaking on this topic. Every corporate leader is speaking out. If they can speak out, why cant i. Right . I can speak a little bit differently. Yes, sir . We also work in complex development. How are we approaching this topic . We theres always going to be a bias. With a high on the way, and reflect people avoid it, because of their own cultural biases, then how do we get adoption in the black community . Yeah. I think it goes back to the awareness again. Right . We talk about Clinical Trial<\/a>s. We talk about things like jury cooling, right. Many times we do not want to serve on a jury. Well guess what . Then gets pulled into the algorithms of the adoption comes from within. Right . Meaning that we have to be one of those jelly beans in the bath. We have to be accountable and we have to be counted and we cannot run away from us because like you said its not going anywhere. And its kind of like the thing is that there are certain things it happened in our community. I talked about in the book. I spent a lot of time in the book talking about because a certain things that we just did not like doing. Right . Certain things we run away from, like sitting on the jury. Its, like no, im not gonna serve on that jury. I want to do that. Certain things that are in our communities. That are now and im going to talk to about protecting citizens. And during all this stuff. So we fear to your question. I think we just needs to be more accountable, and the adoption in my mind comes within the awareness. Again, i think that we are wearing it doesnt take a long time to understand, okay, still do it that way. People here hanging around him a little bit. I would i want to know i went to the book they canceled a book and the first thing is i got a little angry and brave. Want to mark a whole new thats what your intentions will spark a Political Movement<\/a> with the audience . And if so are we gonna start with, can we do that with the younger kids . Like six corridor seventh grade . So we organize and energize and bring it to the forefront. That we can go up with the aids im not sure. But this morning their plans in the future to bring it, nine candidates sparking political of climate a some usmans along with the willpower and the educational arena. That we can put together, like a non profit. Keeping our kids actively robotics triangle. How does this programming start with the kids, and make it fun for them . And bring it to the reality . That is that something in your book as one of the solutions to the problem is not certain i dont know anything about it. But i yeah, i would definitely i think that parts of what he just said is and im certainly dont want to have a Political Movement<\/a> sparked. That certainly wasnt the intent of the for me it was more a gallon of awareness. Randy mentioned earlier. It is about diversity. It is. Right . Diversity is probably the key and the worst kind of manifest itself within people who are running into sam. But i also just a. I. Impacts all of us so diversity means that when we are talking to our clients, they are getting sample data. Were getting people attacking during apple for building an uber app. But taxi drivers in the first thing were gonna do is go talk to there is no diversity and a taxi driver. Then, im gonna get kind of a skewed view and thats how we get information and technology. As we go and talk to people in interview them. We take their information we tended information into data. That day there goes into models. Lets just how it works. I know everyone here isnt your field. Its difficult to get young black people, young students, and into the system . Is it still an issue that we need to figure out how to address . I think. So i think it still is. Social media has given them an option that maybe did they did not have several years ago. Its a movement and now i think they want to do so many other things they dont understand the social consciousness and associated with this. I i in my mind can introduce the concept because in the past technology was a little bit different. Like i was on the programming language or is that we as technologist we would go back, they were totally different. Those languages were learned. They warrant bills to mimic Human Behavior<\/a>. So there for a. I. Now is almost called because it socially conscious. Right . It calls for. That it calls for us to be more aware which again and again out the whole purpose and the reason i wrote the book, was more than just unawareness. It was me talking to the book is written that way. Thats why technologists were reaching there like, we talked about this. Didnt go down deeper into this that was not the purpose of the book. To be a technology theyre so environmentally conscious there. They kept that same size and wanting to be a smaller book. Wanted to be a storytelling book and again i wanted its to be a book of awareness. All right . Any other questions . Yes, maam. How the short answer is knowledge. I can, i did not even i still dont i dont. I just this is what somebody told me. Technology is we know it changes so fast. Like for instance, i did not even talk about things like chatgpt in the book. Right . When i gave the manuscript was written by a that was not even a thing. I talked about not even a chapter. I think that a paragraph. But the whole book could have been like that so because of how i actually had another chapter that i wanted to introduce here and it was not a book but it was about chatgpt. I actually talked about in the time stamp of this. Because chatgpt, we all of it. I go on record and say i love it, i do. But with that its scale has the propensity of scaling some of these bodies that we talk about. The whole concept with chatgpt is that you get curated daytime. So basket you can go out and just pool gigabytes of data off the internet. And train a model with that data. And we all know what it is. Greatest stuff on the internet. So we call those Large Language Models<\/a> and the idea behind it is to your question, joscelyn, is that i would not say i am the book because surely another book should be written by somebody in this audience. You dont know if youre gonna write another book, one of the things the appearing to question with is with the videos and everything about, it this book is a book that is obviously are working on ways to push people in different ways. Tell us about why that is the case . I think it is very important. We are multi faceted people. We interact in different mediums. For me, social media and video, i did not want to do a whole bond and noble. Bull that was my that was not my purpose. I think maybe randy might want to do that. That was the intent. Right . I think were out of time. It has been a wonderful conversation. Calvin, i want you to close out what of the takeaways. What are also thank you for cspan. Thank you for thank you for comments. I really appreciate. There has been a ban in the house and in the room. No better representative than her. Absolutely sold out. I think this is a very a state audience. I dont really have to tell them anything. They have enough information and enough of a call to action. Theyre all of us have. And you dont have to forget that, i think. It is and it is known for essentially its been one of a conversation. As a non democratic person ive learned a lot tonight. Listening to programs on cspan 3 cspan radio just got easier. Tell your smart sake, or place piece band radio. And listen to the washington journals 7 am eastern important congressional hearings and other Public Affairs<\/a> events throughout the day. And weekdays at five pm at nine pm eastern. Catch washington today for fastpaced report of the stories of the day. Listen to cspan anytime. Tell yours speaker to play cspan radio. Cspan 3, or by cable. The cspan bookshelf podcast makes it easy for you to listen to all of cspans podcast let me turn on Fiction Books<\/a> in one place. We can discover new authors and ideas. Each week were making it convenient for you to listen to multiple episodes. Critically acclaimed authors discussing history, biography, a current events, and culture. From our signature program. About books. Afterwards. Booknotes and q a. Listen to cspans bookshelf podcast feed today. You can find cspan bookshelf podcast theme and all of our podcast on the free cspan now mobile video app. Or wherever you get your podcast. And on our website. Cspan. Org slash podcast. Weekends on cspan two are an intellectual feast. Every saturday American History<\/a> tv documents america stories and on sunday ok tv brings you the latest nonFiction Books<\/a> and authors. Funding for cspan two comes from these television companies. And more. Including buckeye broadband","publisher":{"@type":"Organization","name":"archive.org","logo":{"@type":"ImageObject","width":"800","height":"600","url":"\/\/ia902704.us.archive.org\/10\/items\/CSPAN3_20230801_143400_Calvin_Lawrence_Hidden_in_White_Sight_-_How_AI_Empowers_and_Deepens...\/CSPAN3_20230801_143400_Calvin_Lawrence_Hidden_in_White_Sight_-_How_AI_Empowers_and_Deepens....thumbs\/CSPAN3_20230801_143400_Calvin_Lawrence_Hidden_in_White_Sight_-_How_AI_Empowers_and_Deepens..._000001.jpg"}},"autauthor":{"@type":"Organization"},"author":{"sameAs":"archive.org","name":"archive.org"}}],"coverageEndTime":"20240707T12:35:10+00:00"}