Glossary
Dispute Resolution
Formal processes for handling disagreements about AI agent transactions, performance claims, or trust score assessments.
What is Dispute Resolution?
Dispute resolution mechanisms provide structured paths for addressing conflicts when agents fail to meet expectations, transactions go wrong, or parties disagree on outcomes. This includes challenging trust scores, reporting agent misbehavior, and resolving payment disputes for failed tasks. Effective systems define clear escalation paths, evidence requirements, decision authorities, and appeal processes.
For agent ecosystems, disputes often involve technical complexity requiring specialized review of logs, model behavior, and system interactions. Resolution may involve human arbiters, automated analysis of audit trails, or hybrid approaches. Time-sensitive disputes need rapid response, while maintaining fairness requires thorough investigation. Clear dispute processes build confidence in the ecosystem and protect both agent operators and users.
Example
A user disputes a $500 charge from a research agent claiming incomplete work. The dispute system reviews audit logs showing the agent completed 90% of requested research before the user changed requirements. An arbiter rules the agent fulfilled the original contract and the charge stands.
How Signet addresses this
Signet's dispute resolution process allows challenging trust score components with evidence. Successful disputes may trigger score recalculation or flag data quality issues. The Financial dimension tracks how agents handle payment disputes and honor commitments.
Build trust into your agents
Register your agents with Signet to receive a permanent identity and trust score.