Dr. Sean Gourley is the founder and CTO of Quid. He is a Physicist by training and has studied the mathematical patterns of war and terrorism. He is building tools to augment human intelligence.
Description of Talk:
The speed of human strategic thinking is fundamentally limited by the biological hardware that makes up the brain. As humans we simply cannot operate on the millisecond time scale — but algorithms can, and it is these algorithms that are now dominating the financial landscape. In this talk Sean Gourley examines this high frequency algorithmic ecosystem. An ecosystem, Gourley argues, that has evolved to the point where we as humans are no longer fully in control.
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The programmes behind artificial intelligence are in almost every part of our lives, but there’s an emerging problem with them: algorithmic bias.
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This talk was presented at PyBay2019 – 4th annual Bay Area Regional Python conference. See pybay.com for more details about PyBay and click SHOW MORE for more information about this talk.
Through a series of case studies, I will illustrate different types of algorithmic bias, debunk common misconceptions, and share steps towards addressing the problem.
Original slides: https://t.ly/9gO5k
About the speaker
Rachel Thomas is a professor at the University of San Francisco Data Institute and co-founder of fast.ai, which created the “Practical Deep Learning for Coders” course that over 200,000 students have taken and which has been featured in The Economist, MIT Tech Review, and Forbes. She was selected by Forbes as one of 20 Incredible Women in AI, earned her math PhD at Duke, and was an early engineer at Uber. Rachel is a popular writer and keynote speaker. In her TEDx talk, she shares what scares her about AI and why we need people from all backgrounds involved with AI.
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Ray Dalio and Garry Kasparov chat AI. Artificial intelligence is making more and more of our decisions for us. Is this capacity limitless or are there some things only human intuition can determine?
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