The panel discussion at TOKEN2049 in Singapore focused on the convergence of Artificial Intelligence (AI) and Web3 technologies. The panelists, including representatives from Fabric Ventures, Outlier Ventures, CoinFund, NEAR Protocol, and Tools for Humanity/Worldcoin, discussed the importance of this intersection and the potential implications it has for society. They explored topics such as trust in AI, decentralized governance, proof of personhood, aligning human and machine objectives, and the role of open source development in advancing AI. The panel highlighted the need for a new societal framework that leverages the benefits of AI and Web3 while addressing issues like misinformation, reputational trust, and economic distribution.

Trust in AI and Web3

• The panel emphasized the importance of trust in the intersection of AI and Web3 technologies.
• They discussed the need for a trust layer, both for individual identities and the identity of data and creations.
• The panelists highlighted the potential of blockchain technology to enable trust and reputation systems in the context of decentralized social media and content creation.

Decentralized Governance and AI

• The panel explored the concept of decentralized governance and its application in AI systems.
• They discussed the challenges of traditional centralized decision-making in AI organizations and the need to democratize access and decision-making.
• The panelists highlighted the role of blockchain technology in enabling democratic governance over powerful AI models.

Proof of Personhood

• The panelists emphasized the importance of establishing proof of personhood as a fundamental primitive in the online space.
• They discussed the potential use of blockchain technology to create reputation systems that are globally accessible and decoupled from governments.
• The panel highlighted the need to verify the authenticity of online content and ensure it aligns with reputations and intentions.

Economic Coordination and AI

• The panel explored the potential for AI agents to play a role in economic coordination on behalf of individuals.
• They discussed the idea of using AI to optimize financial strategies and macro-level planning.
• The panelists highlighted the need for coordination among AI agents and the challenges of ensuring correct data and outcomes.

Aligning Human and Machine Objectives

• The panel discussed the challenge of aligning human and machine objectives in AI systems.
• They emphasized the importance of open-source development and involving a wider range of stakeholders to ensure a more comprehensive solution.
• The panelists highlighted the need for a new societal framework that restructures the way humans and AI agents interact and collaborate.

Liability, Insurance, and AI

• The panel explored the concept of liability and insurance in the context of AI systems.
• They discussed the need for AI agents to take responsibility for their actions and outcomes and for establishing liability frameworks.
• The panelists emphasized the potential for AI agents to autonomously negotiate insurance based on their performance and outcomes.

Speakers