A closer look at “AI Debate Needs Evidence, Not Hopes and Fears: Scale AI CEO deSouza”, exactly as the source publishes it. Francis deSouza, CEO of Scale AI, argues that comprehensive testing is essential to understand what AI models can do and the risks they pose before determining how to mitigate them. He makes the case for an evidence-based approach to AI development, saying the debate over moving faster or slowing down should be guided by a clearer understanding of the technology's capabilities and risks. deSouza also emphasizes that evaluations should cover both frontier and open-weight models.
In this interview with Kailey Leinz and Joe Mathieu on Bloomberg's "Balance of Power," deSouza explains why the AI debate needs evidence rather than hopes and fears. He discusses the importance of rigorous testing and evaluation to inform policy and development decisions, and how a balanced approach can foster innovation while addressing potential risks. The full version stays on the original page, which this listing opens directly.