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Artificial Intelligence and the Future of Racial Justice | S. Craig Watkins | TEDxMIT 

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In this talk MIT Visiting Professor, S. Craig Watkins addresses one of the fundamental challenges in the AI Ethics debate: computational models that discriminate against marginalized populations. As the adoption of AI infiltrates more high stakes sectors such as policing, employment, health, and financial lending how do we build models that address systemic racism? The tech sector and researchers have focused on creating “fair” algorithms but Watkins asks, “what constitutes fairness in the context of structural racism?” The talk pushes the developers and adopters of AI to think in more nuanced ways about ethical and responsible AI and how these systems can be a force to eliminate rather than perpetuate structural inequities. S. Craig Watkins is the Ernest A. Sharpe Centennial Professor at the University of Texas at Austin and the Founding Director of the Institute for Media Innovation. His research focuses on the impacts of media and data-based systems on human behavior, with a specific concentration on issues related to systemic racism. He is the author of six books and several articles and book chapters examining the intersections between race, technology, and society. His research also considers how diverse communities seek to adopt and deploy technology in innovative ways that address data literacy, civic life, and health. This work has been supported by the MacArthur Foundation.
Currently, Watkins is leading a team that will address the issue of artificial intelligence and systemic racism in a new six-year program funded by the Office of Vice President for Research at the University of Texas at Austin. The team will focus on the broad and fundamental scientific challenge of achieving racially equitable AI, while being grounded in testing the applicability of specific methods, models, processes, and procedures in critical domains like health and transportation. A key component of the research is to examine how various stakeholders-developers of technologies, the private and public sectors, and citizens-can work to create a more equitable AI future. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at www.ted.com/tedx

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11 янв 2022

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Комментарии : 16   
@anthonyrobertson
@anthonyrobertson 2 года назад
These are the things we need to be considering as new technologies are created. Step one imo is to get more POC involved in creating these systems.
@davidge5856
@davidge5856 4 месяца назад
Reminds me of Dr. Daystrom from ST:TOS, except he's guarding against the use of the M-5.
@saadahmadkhan7179
@saadahmadkhan7179 2 года назад
Splendid
@user-cv2of4ve4u
@user-cv2of4ve4u 9 месяцев назад
Watching the impeachment trails?????
@joedirt2862
@joedirt2862 2 года назад
Disparities can and do exist without racism being involved. What is being suggested in this video is changing algorithms to intentionally favor/disadvantage one racial group or another. That's a great example of something that could be called structural racism.
@markpayne7397
@markpayne7397 2 года назад
You've got it wrong though you see. In relation to the context you just highlighted, this very specific type of discrimination has not been written in between the years 1682-1863. So it can only be said that historically and factually you are false, until somebody discovers new data on old events that would fit that narrative, and that narrative would be overwhelmingly embraced by those in intelligencia/governance. Until this day, you will be either always wrong and a bigot. Or lost relative named Tom.
@lewislovelord8977
@lewislovelord8977 Год назад
Heavens no! Clutch muh pearls! Level the playing fields? But...but that would mean acknowledging disparity which might effect muh entitlement.... THIS is what CRT is all about folks. And if you reject the knowledge, you reject objectivity, and you accept ignorance as your hill to defend. Check or hold?
@morrisdavidmullings9833
@morrisdavidmullings9833 11 месяцев назад
@joedirt2862 you could be creating a future Skynet.Thats why white people are fear A.I because of the history of racism and colonisation.
@barbbiedsperling7957
@barbbiedsperling7957 3 месяца назад
Great talk. Please stop saying "right" ever few words. :)
@cali4tune
@cali4tune Год назад
I think we need to do some deep machine learning on DNA to finally answer the question on if race exists and if so what are the implications of any differences. If you aren't afraid of science this should not be a problem. We have been told lately by "scientists" that there is no such thing as "race" and there are no "significant" differences (aka the only differences is skin color). Let's put this to the test using AI so we can finally answer this question without political filtering. Are you afraid?
@BookOfMoon1
@BookOfMoon1 Год назад
Reminded me of people using albino african and yt. If it was skin colour only then why did albino african did not look like the yt counterparts? They just look like any other african with the same features. Because race does exist. They test wolves from varies continental land mass and there were 1.0 apart meaning there weren't the same race of wolves.
@lewislovelord8977
@lewislovelord8977 Год назад
Race exists but humans are of the same race. The math is incredibly basic when using perspective and understanding the context of using narratives to control humans. Ethnicity is a classification that's not objectively necessary for the survival of the species; ethnicity developed due to obvious adaptations in coordination with the equator, where societies developed over countless years, and every other environmental factors recognized or not. AI isn't some magical thinking machine. Ask it whatever you want but the AI has done 0 physical or real world research in the physical plane WE exist in. AI lives in a box built in bias intentional AND otherwise.
@cali4tune
@cali4tune Год назад
@@lewislovelord8977 I agree AI is not some magic. I merely suggest using it as the latest and greatest tool in the box. My main point is we should be using Science and data to solve this problem since it is now possible. However I believe that is being "ignored" because the answers may be inconvenient
@ryangrey8643
@ryangrey8643 8 месяцев назад
AI will confirm the Italians are the true Geniuses!
@user-wr4yl7tx3w
@user-wr4yl7tx3w Год назад
Does absence of evidence mean fake news? Is religion fake news? Who decides?
@jorad4887
@jorad4887 Год назад
we feed data into these computers and when the computer gives us a result we do not agree we call it bias. There is always going to be bias in every study so I agree with the data's results. If we take China for example, in order for you to get good credit, you have to dress nice, make a certain amount of money, location of where you live, the battery life on your cell phone (the higher the battery life the better the score), the care you take on your cell phone (if it's crack you will get points deducted, and so forth. I agree with these results and working in customer service the low socio-economic status you are, the location of where you live and etc...is a perfect example of how the data is interpreted. Remember it is the ENTIRE data that is put in that the computer is interpreted as so if you disagree change the cause than you will have a different outcome.
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