Visibility into AI Agents

Visibility into AI Agents

June 3–6, 2024, Rio de Janeiro, Brazil | Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, Markus Anderljung
The paper "Visibility into AI Agents" by Alan Chan et al. addresses the increasing delegation of tasks to AI agents, which can lead to both societal risks and new challenges. The authors emphasize the importance of visibility—information about where, why, how, and by whom AI agents are used—in understanding and mitigating these risks. They propose three categories of measures to enhance visibility: agent identifiers, real-time monitoring, and activity logging. Each category includes potential implementations varying in intrusiveness and informativeness. The paper analyzes how these measures apply across different deployment contexts, from centralized to decentralized, and discusses their implications for privacy and power concentration. The authors argue that while visibility measures are necessary, further research is needed to understand their feasibility and negative impacts, particularly in the context of decentralized deployments. The paper concludes by highlighting the need for voluntary standards to guide the adoption of visibility measures.The paper "Visibility into AI Agents" by Alan Chan et al. addresses the increasing delegation of tasks to AI agents, which can lead to both societal risks and new challenges. The authors emphasize the importance of visibility—information about where, why, how, and by whom AI agents are used—in understanding and mitigating these risks. They propose three categories of measures to enhance visibility: agent identifiers, real-time monitoring, and activity logging. Each category includes potential implementations varying in intrusiveness and informativeness. The paper analyzes how these measures apply across different deployment contexts, from centralized to decentralized, and discusses their implications for privacy and power concentration. The authors argue that while visibility measures are necessary, further research is needed to understand their feasibility and negative impacts, particularly in the context of decentralized deployments. The paper concludes by highlighting the need for voluntary standards to guide the adoption of visibility measures.
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Understanding Visibility into AI Agents