The WDAG trail resolves the attribution problem for autonomous-agent harm: when an agent acts, the governing decision, its evidence, and the validators who staked on it are all recoverable, so accountability follows from institutional traceability rather than formal proof.
Source quote, verbatim
When an agent acts, the governing decision, the evidence behind it, and the validators who staked on it are all recoverable. Accountability follows from institutional traceability rather than from a formal proof, which is what makes it deployable at scale.
From
Wulf A. Kaal, Governance as a Product (GaaP): A Reputation-Weighted Institutional Architecture for Autonomous AI Agent Governance (2026), VII. Implications, p. 3 https://ssrn.com/abstract=6886078 · source PDF
Cite as
Wulf A. Kaal, Governance as a Product (GaaP): A Reputation-Weighted Institutional Architecture for Autonomous AI Agent Governance (2026). SSRN: https://ssrn.com/abstract=6886078
Holds when
accountability for autonomous-agent actions under GaaP
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