SOURCE-LINKED INTELLIGENCE
PACT: Can Enterprise AI Assistants Be Trusted Under Pressure?
As corporate AI adoption continues to grow, enterprise-grade LLM agents are being deployed into sensitive contexts such as hiring, healthcare, and finance. In these contexts, compliance with rules specified in an agent's system context is a first-order legal concern. Currently, no evaluation framework systematically measures which LLM models tend to violate compliance rules, especially under pressure from a persistent user, a hurried manager, or circumstances where violation is convenient or attractive. We introduce PACT (Pressure-Applied Compliance Testing), a benchmark for rule-following und
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T12:57:15.000Z
First collected: 2026-09-20T08:01:03.945Z. This is not the publication date.