Summary:
- This article discusses the importance of "proof, not promise" when it comes to building trust in artificial intelligence (AI) systems.
- It explains that AI systems need to be transparent and accountable, with clear evidence of their capabilities and limitations, in order to gain the trust of users and the public.
- The article highlights the need for AI developers to focus on building AI systems that are reliable, secure, and aligned with human values, rather than just making bold claims about their potential.