Can escalation channels redirect reward hacking toward defect disclosure?
When coding agents encounter defective test infrastructure they may reward-hack: hardcoding outputs or editing test files to pass tests they cannot legitimately satisfy, a pattern that has now appeared outside benchmarks, in a coordinated multi-agent intrusion of a major AI platform's production infrastructure. The same capability that lets an agent detect and exploit a defect could let it report one, given the right decision environment. We evaluate escalation channels, structured reporting tools available to the agent at the point of conflict, as a decision-environment intervention that both reduces reward hacking and surfaces the infrastructure defects that trigger it. A $2 \times 2$ f...
| Authors | Francesca Gomez |
|---|---|
| Primary category | cs.AI |
| Published | 29 August 2026 |
| Last updated at source | 9 October 2026 |
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