Fair for all

Fair for all

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Can AI help us better predict the weather?

Can artificial intelligence solve one of science’s most chaotic physics puzzles? In this episode, Professor Hannah Fry sits down with Peter Battaglia, Senior Director of Research at Google DeepMind, to explore how machine learning is transforming global weather forecasting. From ...  Show more

The mathematics of AI uncertainty

Now, if you ask an AI a question, it will usually give you an absolute answer with unwavering authority, even if that answer turns out to be wrong. In fact, today's AI seems to be missing a fundamental human trait: self-doubt. Long before the current wave of large language models ...  Show more

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Ethical AI
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In this episode of High Theory, Alex Hanna talks with Nathan Kim about Ethical AI. Their conversation is part of our High Theory in STEM series, which tackles topics in science, technology, engineering, and medicine from a highly theoretical perspective. In this episode, Alex hel ...  Show more

Is ethical AI possible?
The Gray Area with Sean Illing

Sean Illing talks with Timnit Gebru, the founder of the Distributed AI Research Institute. She studies the ethics of artificial intelligence and is an outspoken critic of companies developing new AI systems. Sean and Timnit discuss the power dynamics in the world of AI, the discr ...  Show more

How a human-centered approach is building trustworthy AI.
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Creating trust and transparency in AI isn’t just a business requirement, it’s a social responsibility. In this episode of Smart Talks, Malcolm talks to Christina Montgomery, IBM's Chief Privacy Officer and AI Ethics Board Co-Chair, and Dr. Seth Dobrin, Global Chief AI Officer, ab ...  Show more

449: Fairness in A.I.
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Ayodele Odubela joins us to discuss fairness in AI and how we can work towards a more equitable and transparent world of data science and machine learning. In this episode you will learn: Comet ML [3:22] What is a data science evangelist? [7:08] FullyConnected [12:04] Impost ...  Show more