Responsible AI Agents
Deven R. Desai, Mark O. Riedl

TL;DR
This paper discusses how to design and regulate AI Agents to ensure they act responsibly, align with human norms, and prevent harmful behaviors, emphasizing technical and legal frameworks for responsible deployment.
Contribution
It introduces a computer science approach to value-alignment and interaction discipline to improve AI Agent responsibility and argues against granting AI Agents legal personhood.
Findings
Interaction-based discipline can reduce rogue AI actions
Value-alignment improves user control over AI Agents
Legal responsibility remains with humans, not AI Agents
Abstract
Thanks to advances in large language models, a new type of software agent, the artificial intelligence (AI) agent, has entered the marketplace. Companies such as OpenAI, Google, Microsoft, and Salesforce promise their AI Agents will go from generating passive text to executing tasks. Instead of a travel itinerary, an AI Agent would book all aspects of your trip. Instead of generating text or images for social media post, an AI Agent would post the content across a host of social media outlets. The potential power of AI Agents has fueled legal scholars' fears that AI Agents will enable rogue commerce, human manipulation, rampant defamation, and intellectual property harms. These scholars are calling for regulation before AI Agents cause havoc. This Article addresses the concerns around AI Agents head on. It shows that core aspects of how one piece of software interacts with another…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBlockchain Technology Applications and Security · Ethics and Social Impacts of AI
