2 articles by Shehryar Awan
Knowing When to Ask: Uncertainty, Abstention, and Evidence-Seeking in AI Agents
When should an AI agent act, inspect, ask, or abstain? This paper connects confidence calibration with the cost of error and the value of evidence, proposing a research framework for measuring uncertainty-aware decisions in executable environments.
Guardrails at the Point of Action: A Systems Framework for Tool-Using AI Agents
AI guardrails must govern what agents can do, as well as what they say. This paper proposes an action-centered framework for tool authorization, runtime enforcement, and oversight, with a research protocol for measuring safety and useful task completion.
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