55 min

Building trustworthy AI systems and combating potential malicious use – A conversation w/ Jack Clark Gradient Dissent - Weights & Biases

    • Technology

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: 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/

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: 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/

55 min

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