We Need Accountability in Human-AI Agent Relationships
Not on the map. Why?
Abstract (arXiv)
We argue that accountability mechanisms are needed in human-AI agent relationships to ensure alignment with user and societal interests. We propose a framework according to which AI agents' engagement is conditional on appropriate user behaviour. The framework incorporates design-strategies such as distancing, disengaging, and discouraging.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Oct 2025.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2026: 5.
5 papers.
- 2026Autonomy and Agency in Agentic AI: Architectural Tactics for Regulated Contextscited by 2
- 2026Unilateral Relationship Revision Power in Human-AI Companion Interactioncited by 1
- 2026The Governance of Human-LLM Interaction: Safety Gating, Civility Steering, and Affective Default Lock-Incited by 0
- 2026AI Alignment and Fiduciary Obligationcited by 0
- 2026How AI Assistants Respond to Repeated Abusecited by 0
- 2026AI Alignment and Fiduciary Obligation1 Aug 2026
- 2026How AI Assistants Respond to Repeated Abuse15 Jul 2026
- 2026The Governance of Human-LLM Interaction: Safety Gating, Civility Steering, and Affective Default Lock-In6 Jun 2026
- 2026Autonomy and Agency in Agentic AI: Architectural Tactics for Regulated Contexts12 May 2026
- 2026Unilateral Relationship Revision Power in Human-AI Companion Interaction24 Mar 2026