mlsanityData to 7 Oct 2026

AI Alignment and Fiduciary Obligation

arXiv 2608.02660 ↗First posted 1 Aug 2026cs.CY cs.AI cs.HCcited by 0

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Abstract (arXiv)

Advanced AI assistants engage users in extended interactions across a widening range of roles, including advice, decision support, collaboration, learning, emotional support, and companionship among others. Current alignment efforts consider what alignment criteria should govern these relationships, drawing on moral traditions developed for human relationships such as bioethics, virtue ethics, care ethics, and relationship science. This paper considers AI alignment criteria in the user-AI-developer triad, since every user-AI interaction is mediated by a developer who exercises discretionary control over a system's behaviour, memory, and engagement parameters. Drawing on business ethics and legal scholarship, I argue that fiduciary theory applies to extended AI assistant deployment. On this basis, the four canonical fiduciary duties of loyalty, care, good faith, and candour can generate alignment criteria for the developer-user relationship. I map four user-side risks of extended AI assistant deployment to the four duties and specify institutional measures that follow from discharging each duty. The discussion complements existing approaches by grounding alignment criteria in obligations the developer owes the user, rather than in values the user-AI interaction should promote, and by showing that those obligations hold independently of any de facto harm to users.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 8 of its 39 references that are in the map. First posted on arXiv 1 Aug 2026.

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References · 8

  1. 2018Datasheets for Datasetscited by 1,371
  2. 2018Model Cards for Model Reportingcited by 1,068
  3. 2020Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditingcited by 380
  4. 2024AI Alignment with Changing and Influenceable Reward Functionscited by 33
  5. 2026Characterizing Delusional Spirals through Human-LLM Chat Logscited by 22
  6. 2024Should agentic conversational AI change how we think about ethics? Characterising an interactional ethics centred on respectcited by 8
  7. 2025We Need Accountability in Human-AI Agent Relationshipscited by 5
  8. 2026Unilateral Relationship Revision Power in Human-AI Companion Interactioncited by 1

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