.png)
Exploring the unknown, together.
We bring together leading researchers and rising stars in the field of machine learning to discuss their research learning journeys. Research is inherently a human endeavor, and this podcast provides insights from beginning to breakthrough. Join Cohere Labs, Cohere's research lab that seeks to solve complex machine learning problems. We support fundamental research that explores the unknown, and are focused on creating more points of entry into machine learning research. We are committed to making meaningful progress in machine learning research through open collaboration. We believe that technology is powerful, and empowering different perspectives ensures responsible innovation.
Learn more about Cohere Labs at https://cohere.com/research
Follow us on Twitter here: https://x.com/Cohere_Labs
Make sure you follow us on LinkedIn here: https://www.linkedin.com/showcase/cohere-labs
Exploring the unknown, together.
AI & Technical Governance Series: Bran Knowles and Shahar Avin
Cohere For AI’s series on AI & Technical Governance explores the landscape of AI policy and governance with experts and leaders from industry, government, academia, and civil society. Join us as we gather different perspectives on topics ranging from translating between research and policy to designing sociotechnical safety evaluations.
In this session, C4AI’s Policy & Responsible AI Lead, Aidan Peppin, is joined by Bran Knowles, Professor of Sociotechnical Systems, Lancaster University and Shahar Avin, Senior Research Associate at Centre for the Study of Existential Risk. Bran and Shahar will sit down with Aidan for a conversation on "Tangible trustworthiness for AI systems"