Atlantic Council experts answer the most pressing questions on the EU's AI Act, including what's in it, when it could become law, and what it means for the world.
Breaking Down Bias
On Wednesday, March 24, at 6:30 p.m., Discovery Place Science will host a virtual event addressing the ethical challenges surrounding artificial intelligence.
In conjunction with the Museum’s traveling exhibition, Artificial Intelligence: Your Mind & the Machine, Discovery Place Science will host a virtual event on Wednesday, March 24, that addresses how bias gets encoded in the algorithms that decide the destinies of millions of people. Beginning at 6:30 p.m., Breaking Down Bias will include a keynote address by Steven Tiell, leader of Responsible Innovation at Accenture. Following the talk, a screening of the film, Coded Bias, will take place. The film explores the fallout of MIT Media Lab researcher Joy Baolamwini’s startling discovery that facial recognition does not see dark-skinned faces accurately, and her journey to push for the first-ever legislation in the U.S. to govern against bias in the algorithms that impact us all. The event, which is sponso
Breaking Down Bias: A deep dive into the ethical challenges surrounding artificial intelligence
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Discovery Place Science to welcome Accenture’s Steven Tiell, screen ‘Coded Bias in March 24 virtual event.
Steven Tiell
“Millions of us rely on insights from AI models, whether we know it or not, to form opinions and make decisions on a daily basis. It is critical that every company and organization using AI establishes ethical controls.” CHARLOTTE, N.C. (PRWEB) March 15, 2021 The bias built into artificial intelligence, or AI, often goes unnoticed by the end user. But do a quick search of the internet for images of “CEO” and you will begin to see it when the results you get are overwhelmingly photos of men. Next, try plugging in “cute baby” and you’ll discover an image return displaying hundreds of white children.
Event recap | Synthetic data, privacy, and the future of trust Event Recap by the GeoTech Center
Event description
Over the last decade, the business of data has disrupted nearly every business category with its promise of technological, industrial, and human advancement. Data continues to captivate our interest as entrepreneurs, executives, and policymakers for its potential to democratize the next wave of productivity with artificial intelligence and machine-to-machine advancements. To advance this wave of productivity, new models of data have been invented: Synthetic Data
As it suggests, synthetic data is completely artificial and offers the promise of both usefulness and privacy. Artificial intelligence that is trained on real-life information often contains a baked-in bias: algorithmic decision-making in fields such as criminal justice and credit scoring shows evidence of rac