How can agents justify actions in regulated data exchange?
JUSTACT+: JUSTIFIED AND ACCOUNTABLE ACTIONS IN POLICY-REGULATED, MULTI-DOMAIN DATA PROCESSING
February 4, 2025
https://arxiv.org/pdf/2502.00138This paper introduces JustAct+, a framework for building multi-agent systems where autonomous agents' actions are governed by policies they create and share. These policies regulate access to and use of data, addressing challenges in scenarios like sensitive data exchange where full policy transparency isn't feasible. The framework uses a logic-based policy language (Slick, a variant of Datalog) and emphasizes accountability through verifiable justifications for every action.
For LLM-based multi-agent systems, JustAct+ offers a structured approach to:
- Decentralized policy management: LLMs acting as agents can contribute to and reason about policies relevant to their interactions.
- Accountability and auditability: The requirement for justifications creates a transparent record of decisions, useful for understanding LLM behavior and resolving disputes.
- Dynamic policy adaptation: Policies can be adjusted at runtime via agreements, enabling the system to adapt to changing circumstances or evolving agent objectives. This could be useful for fine-tuning agent collaborations based on observed interactions.
- Integration with external systems: Effects of LLM actions (e.g., generating text, making API calls) can be tied to and regulated by policies within the JustAct+ framework.
- Composition Control: Slick, the policy language, allows for specifying constraints on how policies can be combined, offering finer-grained control over policy evolution and avoiding inconsistencies, a crucial aspect when LLMs are generating or modifying policies.