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Summary In this episode of So What About AI Agents Philippe Trounev and Dr. Craig Kaplan discusses the need for a new approach to AI safety and governance, emphasizing the importance of prevention in design and the concept of AI agents and collective intelligence systems. He highlights the role of ethics and morals in agentic society, the enforcement of ethics and morals in AI agents, and the purpose and values of AI agents. Dr. Kaplan also explores the blueprint for collective intelligence systems, problem-solving and coordination in multi-agent systems, transparency and accountability, decentralization of power, observation and reporting, and the role of values in AI systems. He concludes by discussing the relevance of Herbert Simon's ideas in AI research. takeaways Democracy in AI governance can enhance safety. AI agents can work together like a community. Ethics in AI must be enforced through safeguards. Collective intelligence can outperform individual expertise. Designing AI systems requires careful consideration. Transparency is crucial for AI agent interactions. Values from diverse individuals should shape AI behavior. The historical context of AI informs current practices. Short-term fixes are not sufficient for AI safety. Our online behavior influences future AI training. titles Building Safe AI: A Democratic Approach The Future of AI Governance Sound Bites "Two heads are better than one." "We need to think hard about design." "We should behave well online." Chapters 00:00 Introduction to AI and Superintelligence 01:20 Governance and Safety in AI 05:30 The Role of AI Agents in Society 07:29 Evolving Towards Agentic Democracy 09:35 Ethics and Morals in Agentic Society 12:16 Influence vs. Enforcement in AI Behavior 15:52 Blueprint for Collective Intelligence Systems 19:39 Human Traits in AI Collective Intelligence 22:49 Transparency and Accountability Among Agents 25:25 Decentralization and Power Distribution 29:35 Learning from Human Governance 33:20 Herbert Simon's Insights on AI and Morality 36:42 Key Takeaways for AI Governance