Specifying the Delegated-Autonomy Boundary: Requirements Engineering for Agentic AI
Agentic AI systems do not just predict or recommend; they plan, maintain state, and act in external environments with varying degrees of autonomy. This changes the requirements engineering problem in a specific and under-addressed way: it introduces what we call the delegated-autonomy boundary -- the set of decisions about what may be delegated to the system, under what graduated authority, with what oversight, and how control is returned. Current practices bury these decisions inside prompts, tool schemas, and runtime policies, even though they are requirements-level commitments. This paper p
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- PossiblePossibly related (embedding) · 54%Agentic AI for Robot Teams →
- FuzzySimilar title/name (fuzzy) · 87%patchy631/ai-engineering-hub →
“Fuzzy title match (0.94): “Specifying the Delegated-Autonomy Boundary: Requirements Eng” ≈ “patchy631/ai-engineering-hub””
- FuzzySimilar title/name (fuzzy) · 84%stas00/ml-engineering →
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- FuzzyOverlapping authors or contributors · 62%ultralytics/yolov5 →
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- FuzzyOverlapping authors or contributors · 62%deepfakes/faceswap →
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- FuzzySimilar title/name (fuzzy) · 59%cobusgreyling/loop-engineering →
“Fuzzy title match (0.73): “Specifying the Delegated-Autonomy Boundary: Requirements Eng” ≈ “cobusgreyling/loop-engineering””
- LinkedLinked via arxiv author · 85%Chetan Arora →
“Specifying the Delegated-Autonomy Boundary: Requirements Engineering for Agentic AI”
- LinkedLinked via arxiv author · 85%Andreas Vogelsang →
“Specifying the Delegated-Autonomy Boundary: Requirements Engineering for Agentic AI”