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• "Computer Says No": Disabled Welfare Experiences and Envisioned Futures Under AI Governance

  Humphrey Curtis, Adam D G Jenkins, Alistair Gentry, Sioban Zacharek, Sally McVicker, Timothy Neate, Filip Bircanin · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Curtis and colleagues investigate how people with aphasia — a language impairment most often caused by stroke that affects reading, writing, speech, and comprehension — experience the increasingly digitised and AI-automated UK welfare state, and how they would redesign it. The…

  AI · artificial intelligence · AI governance · algorithmic decision-making · aphasia

• Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors

  Michelle S. Lam, Fred Hohman, Dominik Moritz, Jeffrey P. Bigham, Kenneth Holstein, Mary Beth Kery · 2025 · Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology (UIST '25)

  This paper introduces "policy maps," an approach to AI policy design for large language models inspired by physical mapmaking. The core insight is that comprehensive policy coverage over an unbounded space of LLM inputs and outputs is impossible — just as no map can capture…

  AI safety · AI policy · large language models · AI ethics · model evaluation

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