cs.CY · 2026-09-10 · No. 111

Computers and Society, 2026-09-10.

4 new papers in cs.CY. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

4 entries
  1. 01

    Emergency Department Revisit Quality Review Screening: Exploring Human Decision-Making and Artificial Intelligence Support

    Jonathan A. Handler, Marlene I. Robles-Granda, Jacob E. Mefford, Jeremy S. McGarvey, Gregory S. Podolej, Colleen J....

    cs.CY · cs.AI

    Background: Emergency Department (ED) return visits are commonly reviewed for quality assurance, but are often limited (e.g., to revisits within 48-72 hours) to increase actionable finding yield while minimizing chart review burden. Those limitations may lead to missed quality improvement opportunities. Methods: We conducted an exploratory, retrospective study of randomly selected ED visits to a multihospital health system having an ED...

    arxiv.org/abs/2609.10421 · PDF

  2. 02

    Beyond Training: A Feasibility Taxonomy for Inference-Time AI Governance

    Samar Ansari

    cs.CY · cs.AI · cs.CR

    Compute governance today is a governance of training: the thresholds, reporting requirements, and frontier-AI regimes now in force attach to training compute and treat the trained model as the regulatory unit. That picture is incomplete: capability increasingly migrates to the deployment stage through inference-time scaling, agentic scaffolding, and compression onto consumer hardware. This paper asks which mechanisms are available once the...

    arxiv.org/abs/2609.10105 · PDF

  3. 03

    With a Thermomix You Lose the Ability to Cook: A Kitchen Machine Analogy for Applications of Generative AI in Education

    Nikol Rummel, Valentina Nachtigall, Ernesto Panadero

    cs.CY · cs.AI

    The rapid adoption of generative AI tools such as ChatGPT has sparked intense debate about their risks and opportunities for education, as well as the ways researchers should investigate them. In this paper, we approach these discussions through an analogy with the Thermomix, a smart kitchen appliance that has similarly provoked both enthusiasm and critique. By mapping Thermomix use cases onto examples of learning with generative AI, and...

    arxiv.org/abs/2609.09856 · PDF

  4. 04

    Watermarks Without Verification: AI Text Watermarking After the EU AI Act

    Alexander Nemecek, Vipin Chaudhary, Erman Ayday

    cs.CY · cs.AI · cs.CR

    On August 2, 2026, the obligations of Article 50 of the EU AI Act took effect, requiring generative AI providers to mark the content their systems produce and ensure it can be detected as AI-generated. Days later, Anthropic disclosed that every Claude model released after that date embeds a watermark based on SynthID-Text in all generated text, enabled by default with no user opt-out; Google has deployed SynthID-Text in Gemini since 2024....

    arxiv.org/abs/2609.09604 · PDF

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