AI Governance Via Web3 Reputation System
Wulf A. Kaal · 2024
In the rapidly evolving landscape of artificial intelligence (AI), governance frameworks are increasingly crucial. As AI technologies become more complex and integral to various sectors, the mechanisms to oversee and regulate these systems must evolve correspondingly. Traditional governance approaches often rely on static, predefined rules that may not adapt quickly enough to the pace of AI development or the nuanced challenges it presents. These conventional methods, largely reactive or fixed to ex-post solutions, are proving insufficient for the dynamic nature of AI technologies. The proposed AI governance system integrates decentralized web3 community governance with federated communication platforms, forming a sophisticated framework for dynamic, anticipatory, and participatory oversight of AI development. Key components include a federated forum platform structured as a Weighted Directed Acyclic Graph (WDAG) and specialized smart contracts for managing tasks and validation. This setup facilitates real-time consensus-building and decision-making, supports a scalable, transparent communication network, and maintains an updated and responsive governance system through Validation Pools and Reputation tokens. The WDAG system provides a dynamic, structured approach to AI governance, ensuring that models consistently align with evolving legal and ethical standards. Each AI model is represented as a node within the WDAG, with directed edges connecting it to relevant legal precedents and ethical guidelines. These connections are weighted to reflect the importance of each governance element, allowing real-time adjustments as new regulations or ethical considerations emerge, ensuring continuous compliance within diverse operational environments. * Professor of Law, University of St. Thomas. The author is grateful for excellent support by research assistant Jack Palmer and research librarian Adam Bent. 1 2 STANFORD JOURNAL OF BLOCKCHAIN LAW & POLICY [Vol. 8.1
Cite: Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807. https://doi.org/10.2139/ssrn.4941807
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