Jack Clark — Building Trustworthy AI Systems
Podcast |
Gradient Dissent
Publisher |
Lukas Biewald
Media Type |
audio
Categories Via RSS |
Technology
Publication Date |
Apr 22, 2020
Episode Duration |
00:55:56
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/2004.07213 Follow Jack Clark on Twitter: twitter.com/jackclarkSF Read more posts by Jack on his website: clark.net/">https://jack-clark.net/ Get our podcast on Apple and Spotify! https://podcasts.apple.com/us/podcast/gradient-dissent-weights-biases/id1504567418 https://open.spotify.com/show/7o9r3fFig3MhTJwehXDbXm 🤖Gradient Dissent by Weights and Biases Get 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 carey@wandb.com 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/

This episode currently has no reviews.

Submit Review
This episode could use a review!

This episode could use a review! Have anything to say about it? Share your thoughts using the button below.

Submit Review