Jack Clark — Building Trustworthy AI Systems episode artwork

EPISODE · Apr 22, 2020 · 55 MIN

Jack Clark — Building Trustworthy AI Systems

from Gradient Dissent: Conversations on AI

Jack Clark is the Strategy and Communications Director at OpenAI and formerly worked as the world’s only neural network reporter at Bloomberg. Lukas and Jack discuss AI policy, ethics, and the responsibilities of AI researchers.Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims by OpenAI: https://arxiv.org/abs/2004.07213Follow Jack Clark on Twitter: twitter.com/jackclarkSFRead more posts by Jack on his website: https://jack-clark.net/Get our podcast on Apple and Spotify!https://podcasts.apple.com/us/podcast/gradient-dissent-weights-biases/id1504567418https://open.spotify.com/show/7o9r3fFig3MhTJwehXDbXm🤖Gradient Dissent by Weights and BiasesGet a behind-the-scenes look at how industry leaders are using machine learning in the real world. While building experiment tracking tools, we’ve had the opportunity to learn about how different teams are building and deploying models. In this podcast, we share some of the insights and stories we’ve heard along the way. Follow Gradient Dissent for weekly machine learning updates, and be part of the conversation.👩🏼‍🚀Weights and Biases:We’re always free for academics and open source projects. Email [email protected] with any questions or feature suggestions.- Blog: https://www.wandb.com/articles- Gallery: See what you can create with W&B - https://app.wandb.ai/gallery- Continue the conversation on our slack community - http://bit.ly/wandb-forum🎙Host: Lukas Biewald - https://twitter.com/l2k👩🏼‍💻Producer: Lavanya Shukla - https://twitter.com/lavanyaai📹Editor: Cayla Sharp - http://caylasharp.com/

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Jack Clark — Building Trustworthy AI Systems

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