Welcome everybody, youre all. Everybody having a good time time. Hows the food . The drinks . Great. All right. Fantastic. Right to see it. I see a lot of smiling faces. Thats fantastic. This is historic event. Nothing like this has ever happened before when it comes to books. This book is based on technology. It is also based business. And at the same time, it is based on social. This type of book and ive seen plenty of them has never been written before, so thats a grand feat, right . Okay. Fantastic now, for those of you that i have not introduced myself to, my names tony smith and we can put a senior on the i helped create the internet, i helped create the laptop computer. I helped create online banking. You know it today also i heard that i also, i created the Software Architect profession which has rolled out through multiple Companies Worldwide technology and Non Technology companies. I am also the author of mentor one on one and approach for making mentors better mentors. That takes you to my next point and last point on me now sprinkle. Activism across all of that, starting from college. I have always challenged the system. I have always the Digital Divide since 1979, when i first learned what a computer is and what it does, i was trying to stop could could try to retire, could. Have an interesting conversation. There. We articulate very, very visionary person im not going to name yet. This was back in 2013 at that in time there was an a. I. Model called watson. Not sure if you remember our i guess what watson beat chess pros. Watson won in jeopardy this individual i we were having a conversation about that we just happened to be in the same city for Huge Customer event. And we said 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 through the industry. They were few and between us. So that brings us to this individual here. We go 2013. A year and a half ago, he says, tony, guess what, im going to write a book. I said, okay Calvin Watson going to be about it. And he said, a i bias. And at that point time, i thought to myself, i said, does he understand what hes getting into . Because there ramifications for stepping out like that i felt them. My family felt that the ramifications for doing this kind of thing but he was serious and then i kept on and he said if not me then who and he said not now then when i said oh. As look, here we go. He said, tony, he said, i want to help. Im supposed to be retired or somewhere else. I said, of course i know ive been you. You did. I cant tell you the number of times that i have had to help, but at the same time hes helped me. Hes definitely a person of vision. When we were when he was a Software Architect. He understood where java was going all of you that have cell phones its running as its operating system okay thats the basis so guess he went and learned it he became one of the best computer java programmers in the world, bar none. Hes also been active his community and he has to demonstrate that. Guess what, even though i may not be as demonstrative as you are going against, but i understand it and im doing it. I cant say enough okay. Also. One last thing. There are only a few people worldwide who can write a book like this because they dont have three values that i said. And believe me, just a few calvin was the right one that now i dont want to talk too long before i start getting the hook. But please enjoy the rest of the program and thanks for coming out. In this book calvin lawrence, a distinguished engineer intro grammar at one of the worlds most influential technologies, companies slowly pulls the covers on why Artificial Intelligence fears so many black people. For Technology Professionals who are grappling with the ethics of deploying Artificial Intelligence technologies, and for those who want to understand, the hidden impact of the software might be having this book is a must. Mr. Lawrence shares intimate and real life stories on how subconscious bias data drift and misrepresented data that further disenfranchize people of color. How a. I. Is not just impacting what students are being taught its impact on who actually admitted to the university. The choice from calculating simple elementary placement scores to ensuring whether a high students admitted to Harvard Law School or the home of the brave the land of the free by tis of thee, sweet land of liberty of thee i sing, land my fathers died, land of the pilgrims pride. From every mountainside let freedom ring, let freedom ring learn how predictable leasing and the mass surveillance of the unsuspected using facial and Voice Recognition systems is prevalent in law enforcement. Unintentional ad generating algorithms targeting those suspected on the rise in the book youll see where even lone officer says approved the roebuck and easily say not so fast denied. How long you stay in the mcdonalds line might depend on what the robot says about your Socio Economic status how miss justices of our past can be accelerated and scaled now would technology. Whiteness the whiteness how our authentic selves have seeped into our air design process. Learn the mindset of the past, have prevented todays technologies. Learn how profit and financial growth contributed to and even encouraged society to accept the outcomes of unfair purchase. This book from, Amazon Kindle and barnes noble go to purchase the audible version. Preorder and reserve your copy now from hitting your white sidecar. The book will be available. Amazon books. Amazon kindle, barnes noble and audible. A major winter one of the bruising trying to win republican primaries. Dangerous virus. Los angeles, california. Second most populous city in the united states, spread out over 468 square miles with nearly 4 million residents and fewer than 10,000 Police Officers sworn to protect and serve. Keeping order is a time job. We are playing probabilities and putting officers in the right place at the right time to make the most of their resources. Police captains like malinowski of the lapd and other Police Departments across, the country are turning to a new tactic to help stop crime before it happens. Its called predictive policing. It calculates for next 12 hours and the future. What areas have the highest probability of a crime occurring . And then what we do is we provide information to the officers and then the officers go out and they try to those crimes from occurring. The Predictive Policing Program used by the lapd come out of a police academy. Its based on research by a team of and social scientists at trying to predict where when crime is most likely to happen. I had these ideas that really Human Behavior is actually quite predictable and that you can study Human Behavior and understand where crime patterns come from in a very quantitative way. With funding from the National Foundation anthropology professor Jeff Brantingham teamed up with mathematics Andrea Bertozzi and others to analyze crime patterns and develop computer models to simulate criminal. Their crime prediction is based on the same algorithms used to predict earthquakes and aftershock. Once an event happens, it triggers another event. And so can apply this idea to gang crimes. You can apply it to burglary use. You can apply it to automobiles stuff. There are many types of activity for which this idea is very relevant. Thousands of pieces of crime data from the lapd, including locations times and dates of past crimes, are processed by the Software Program as predpol to calculate and predict the potential activity for an area at certain time. And those are delivered back to the Police Departments, a way that allows them to use it in time, fashion. Color code. Monitoring the area at roll call in the foothill area of, los angeles, where ucla tested the program in 2011. So today were going to head up the predictive policing. Officers receive maps showing the areas of predicted activity the next shift. Red boxes on the map highlight the hotspots areas measuring 500 feet by 500 feet. That will require extra patrols. So the officers know thats the highest probability area where they should be looking for a crime to be committed. And we ask them to get in and disrupt the crime from occurring or, deny the criminal the opportunity, commit the crime thats. Just what happened in 2011 in santa cruz, calif, where officers were patrolling a hotspot, putting them in the right place at the right time to stop an assault. We came here, did x patrols and stopped the crime, able to stop a crime in progress, walk out worse. We are helping Police Fight Crime by giving them the best state of the art. Mathematical models and algorithms. So take the data from yesterday and today. And figure out whats going to happen in the field with. Mathematics and social sciences. Police. A new weapon in their arsenal, helping not only to protect and serve, but also to predict a crime before it happens. Okay. Okay. While. The kind of world we live in now. Right now were going to have panel and id for randi slack to come up. Randy, our esteemed, is the publisher for Computer Science books and worldwide. Taylor francis. Next, id like to have ernie suggs come up. Ernie suggs is race cultural reporter for the ajc. Hes also an author. So be sure to talk with him about his book. And then, of course weve got. You. Just go visit your own work. Work. Were just about this book to keep them using all of mr. Mr. Calvin the lord. And rin. Would you just tell them little bit about yourself . Yeah. Hi, randi slack. And i am the publisher for Computer Science at taylor and francis. And its been a joy to work with on his book. I spent and ernie suggs. Good evening, everyone. My name is ernie suggs, a reporter of race and culture of the Atlanta Journal constitution, and i am also a author. I just published last year on year, this time the many lives of andrew young, which you find at your local bookstores on amazon and all those places that. And with that, ill turn it over to our moderator. Well, thank you. Thank you very much. And this is a wonderful crowd of youve gathered here. So we have we have were were going to have a great conversation. So i want you guys to relax and have a good time. Were going to have a afterwards so were gonna talk for about 45 minutes but were going to have a good time and learn a lot, hopefully. So, calvin, i want to start you. Welcome. Well, welcome. This is your event, but first of all, you know, i just wrote my first book. How does it feel . You know, this is your first book. You know, just you have all these people coming out and just how do you how was that process for you and how do you feel about . What whats happening . I feel thankful. First of all, thankful that all my friends came out here with me on this. What i consider to be kind of a wonderful moment. So im i feel relieved, to be quite honest. Its been a long time. The book is taken a long time. Ive actually havent written a book like this. Ive written articles and pieces of books, but i have a deep appreciation and to you and others who have gone on this journey so relieved is the word that ought to fill in kind of comes to mind right now. So im going i want to talk to you and randy about the process of the book. The first question i want to ask is, you know, youre playing this wonderful video to kind of introduce us, kind of get us ready for this. And there are two things i notice in the videos. One is that a. I. Is everywhere. You have that being is everywhere. And the second is that queen ramana said a. I. Is going to kill us all. So its everywhere. But is going to kill us all. Should we be fearful this . No, i dont. I dont think so. I mean, im a huge fan of i mean, ive spent part of the last ten years or so building an app, much of kind of what you see. Ive had my hands on it. So i believed we just need to there need to be proper guardrails. They a. I. Is a fantastic tool, whether we like it or not. Everything we do is a like everything. Were not going to be able get around with it. And as big well get around from it. And this big business i Company Wants to do what a. I. Allows companies to be more efficient. They allow them to save money and do all things better. And they do things that they havent done before. So because of that, youll always it. But like the videos saying like talk about in a bowl, we just have to be conscious and conscientious of the fact that a. I. Can harm, if not properly got it. So thats my thats my position i stand by it. So i want to i want to talk about the book for first. You know, its interesting, the title of the book hidden in white sight how a. I. Empowers and systemic racism. How did that title come about . Thats thats a funny story because my family, were all kind tested. As i went back and forth on titles, that wasnt the first title. No, hidden. Hidden in like hidden white site came pretty quickly. But the second title was more the subtitle title was why a. I. The hell out of black folk and randy probably can talk to that one. That was the subtitle that i presented her with before i got to know. So it might be a question ask why, but its not. To be quite honest, i want the title to tell a story. I want it to be edgy. I wanted to sure that you know most corporations and most people. Know. How most people understand that a can be. I dont know anybody in Corporate America who doesnt . A to that fact. Right so thats a known fact. And i actually i think the difference between my respect and some other perspectives in corporate Corporate America is that most folk would say its bias of the data. I say that too. I say its bias because we live in a biased world. We live in a cultural bias. And because of that, when you have a lack of diversity in technology, many of those folk along the and we all know it does, not a lot of us. So when have a lack of diversity and we live in a cultural melting pot in the environment and obviously theres a chance that our technology will make. Wow thats the purpose of this meant to mimic our behavior. Right. And to make it more efficient. So if that is the case and we are we are biased people and we live in a biased world, and obviously bias will seep into our. And thats kind of what really that was my position and my perspective in the book. So when were listening to provocative titles, the one that was rejected and the one that was actually published was were you to publish a book and why did you publish it . Oh, absolutely not. Afraid. The the subtitle was a little bit we put me off a little bit in the beginning only because i wanted the book to be able to have a global reach. And i felt like i scaring the hell out black folk. So its very colloquial and its american, its very american. And we, we wanted to be able to reach a global audience. So that was and thats how i convinced him to change after of discussions. It wasnt an easy development. And everybody here know me and know im not easily convinced. So it took a minute to convince me of that. But glad im absolutely glad that i did do that. Yeah, but absolutely. We were not scared of publishing book. Actually, our Publishing CompanyTaylor Francis publishes a lot of social and books on systemic, so it fits into the scope of what we were doing. I think my main hesitation was wanting to make sure that i gave calvin the biggest, the best publishing opportunity to reach the biggest audience. And so i think our discussions around that were the main hesitation in the beginning. But because were primarily an academic publisher, but we do publish professional books and books that are for a general. So so we negotiated and we came to and im very glad. Im very glad did because i want to talk a little about said you mentioned social justice and how in your work and what youve done in publishing how does social justice aspect play in a how are these connected . Why are they important . Well, its really important because of bias issues. I and thats not talked about a lot and you can hear a lot technical we have a lot of technical books ai that talk about how to do ai how to work it with ai in business and different aspects. But theres not really any other book like calvins that really gets into the issues around systemic racism, bias and all of those responsible ai and all those issues. And the thing that i liked the most about calvins book is that he is a story teller first and foremost, and he interweave his stories of his own life and people that he actually knows and how ai has impacted them in a bad way, in a negative. And so that was Something Really appealed to me as being very so telling without giving away who done it. Give us a little bit about what the book about. Yeah. So the book really was meant to be quite honest for people of color. You know, initially it was meant to be a book of awareness. And thats why i tell stories. I told stories that people i know folk and communities would understand, like they understand banking. They understand how to go and get along. They they understand predictive policing. So i tell in the book about own story around predictive policing, how i basically was found one evening coming from work basically on the side of the street with a flat tied down in the city of atlanta found and ended up being a predictive policing zone. I was driving a fancy and pull it over and the question to me was okay this is obviously when you go into our neighborhoods, they are overpoliced and im not suggesting that thats a good thing or a bad thing, but i as a technologist, that those things dont happen by accident. I have algorithms. They are computer that are telling police to patrol when to patrol. So again, the book was initially for people of color. So it was meant be kind of an awareness. Let me tell you a story kind of thing. And then it kind of evolved