

#210 Trust and Regulation in AI with Bruce Schneier, Internationally Renowned Security Technologist
94 snips May 27, 2024
Bruce Schneier, an internationally renowned security technologist and author, discusses the vital concept of trust in AI. He explores the deceptive nature of AI systems and emphasizes the importance of transparency and accountability, advocating for public AI models over corporate interests. Schneier argues for robust regulations to ensure safety and ethics in AI development, drawing parallels to social media's evolution. He highlights the ethical responsibilities of AI creators and the need for continuous oversight to protect consumer interests and democratic values.
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Defining Trust
- Trust is a complex concept with varying meanings depending on context.
- It's important to differentiate between interpersonal trust (e.g., with friends) and social trust (e.g., with institutions).
Types of Trust
- Interpersonal trust is built on personal knowledge, while social trust relies on societal systems.
- Social trust enables interactions with strangers, scaling beyond personal connections.
AI and Trust
- AI mimics social trust, but it's controlled by corporations with potential surveillance issues.
- Treat AI as a tool, like your phone or search engine, not as a friend.