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This vision paper argues that trustworthy AI-assisted software engineering requires behavioural accountability: making implicit assumptions explicit, surfacing behavioural violations, and producing auditable evidence for developers and CI pipelines.
AI assistants are increasingly used to support behavioural modelling from natural-language requirements, yet they provide little assurance that the resulting models are logically coherent. We argue that this limitation stems not only from the capabilities of large language models but also from the absence of explicit r...
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