Vol. 4 No. 2 (2024): Journal of AI-Assisted Scientific Discovery
Articles

Autonomous AI Agents and Blockchain Interactions: Enabling Decentralized Autonomous Organizations (DAOs)

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  • David Thompson
David Thompson
Associate Professor, Department of Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
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Published 12-10-2024

Keywords

  • Autonomous AI Agents,
  • Blockchain Technology,
  • Decentralized Autonomous Organizations,
  • Security,
  • Smart Contracts
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
David Thompson, “Autonomous AI Agents and Blockchain Interactions: Enabling Decentralized Autonomous Organizations (DAOs)”, Journal of AI-Assisted Scientific Discovery, vol. 4, no. 2, pp. 73–79, Oct. 2024, Accessed: Nov. 14, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/172

Abstract

The rise of autonomous artificial intelligence (AI) agents combined with blockchain technology is driving the evolution of Decentralized Autonomous Organizations (DAOs). This paper investigates the synergy between AI agents and blockchain in creating DAOs, emphasizing their operational, legal, and security implications. Autonomous AI agents enable efficient decision-making and task execution within DAOs, enhancing their operational efficiency. Furthermore, blockchain technology provides a secure and transparent framework for recording transactions, enforcing rules, and facilitating interactions between agents. However, the integration of these technologies raises significant legal questions regarding liability, governance, and compliance. This paper explores these dimensions to provide a comprehensive understanding of how AI and blockchain can collectively empower DAOs, fostering a new paradigm of decentralized governance.

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