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generative ai

2,298 papers

#generative ai Preprint Open access Sep 2026

Between Knowledge and Care: A Mixed-Methods Evaluation of Generative AI for T2DM Self-Management from Patient and Physician Perspectives

Generative AI is increasingly used for everyday health guidance, yet its clinical appropriateness in chronic disease contexts remains poorly understood. This paper presents a two-part mixed-methods study on Type 2 Diabetes Mellitus (T2DM), examining how patients and physicians assess AI-generated health information. St...

Ruiqi Chen, Yibo Meng, Huidi Lu et al. · 0 citations
#artificial intelligence Preprint Open access Sep 2026

Measuring Google AI Overviews: Activation, Source Quality, Claim Fidelity, and Publisher Impact

Google AI Overviews (AIOs) are arguably the most widely encountered deployment of generative AI, reaching over 2 billion users who may not realize the answers they see are AI-generated. Where search engines have traditionally surfaced ranked sources and left users to evaluate them, AIOs synthesize and deliver a single...

Haofei Xu, Umar Iqbal, Jacob Montgomery · 0 citations
#generative ai Book Open access Oct 2026

Can You See Me, GenAI? Characterizing Video-Based Conversational Interaction with Generative AI

The authors' measurements reveal several fundamental bottlenecks: conversational latency remains above natural turn-taking thresholds even in unconstrained networks; protocol choices significantly affect system robustness under packet loss; and conventional video streaming practices, such as prioritizing stable frame r...

Rui-Zhi Cheng, Guo-Wu Xie, Bo Han · 0 citations
#generative ai Open access Sep 2026

Simulated Morality, Misplaced Trust: The Risks of Treating AI as a Moral Partner

The article argues that many contemporary AI alignment practices risk a mistaken assimilation of moral agency to statistical learning. Techniques such as reinforcement learning from human feedback and constitutional AI often treat morality as a behavioral function that can be approximated from human discourse, behavior...

Saša Josifović · 0 citations
#generative ai Book Open access Oct 2026

Combinatorial Capture: Generative AI and the Displacement of Transformational Creative Work

It is argued that current generative AI systematically favors combinatorial creativity while offering weaker support for transformational creativity, and that HCI should evaluate AI tools not only by the quality of creative outputs they enable but by the distribution of creative types they support, privilege, or suppre...

Peter Dalsgaard · 0 citations
#generative ai Book Open access Oct 2026

BranchVis: Interactive Exploration of Generative Image Editing Histories

BranchVis is presented, a prototype that represents prompts and generated images as nodes in a tree-based visualization, enabling direct navigation, unambiguous revisitation, integrated comparison, and management of complex histories.

Rifat Mehreen Amin, Alexander Nuss, M. Dutoit et al. · 0 citations
#generative ai Book Open access Oct 2026

From Malfunction to Method: Artistic Strategies for Working with GenAI's Limitations

It is argued that artists working at the edge of GenAI systems offer HCI a model for designing with limitations rather than against them, arguing that artists working at the edge of GenAI systems offer HCI a model for designing with limitations rather than against them.

Justyna Starostka, A. Løvlie, Laurence Cliffe et al. · 0 citations
#generative ai Book Open access Oct 2026

Professional and Digital Agency in AI‑Driven Work: Multilevel Factors Shaping Adoption and Engagement

The rapid proliferation of artificial intelligence (AI) is reshaping work structures, task content, and skill requirements across contemporary organization levels, altering how agency is exercised in everyday work. This study investigates perceived enablers and barriers to generative AI adoption and engagement in knowl...

Janne Kauttonen, Merja Drake, Anna Lahtinen et al. · 0 citations
#generative ai Book Open access Oct 2026

Inspirational Patterns for Human-Swarm Interaction Design

Managing autonomous swarms presents significant cognitive challenges, as current entity-centric interfaces fail to scale with increasing agent numbers. This paper addresses this gap by distilling intermediate-level design knowledge from Real-Time Strategy (RTS) games, which provide a rich source of precedents for multi...

Oscar Bjurling, Mattias Arvola · 0 citations
#generative ai Book Open access Oct 2026

How GenAI Enters Illustration Studio Education: Pedagogical Insights from Students and Educators

Investigating how GenAI shapes creative processes, learning, and ethical practices across multiple course levels provides actionable insights for designing AI-integrated illustration curricula that foster creativity, ethical awareness, and critical engagement.

Cansu Akverdi, G. Baykal · 0 citations
#generative ai Book Open access Oct 2026

Designing the dash in Human–AI Collaboration: A Redesign Probe for Working with Tensions in Care Documentation Practices

An empirical account of how professional judgment is negotiated through AI-generated representations is contributed and a redesign probe is introduced as a way to engage with AI integration in practice.

Tina Westergaard Milbak, M. Cohn, Naja L. Holten Møller · 0 citations

From tech blogs

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Microsoft Research Blog Oct 12, 2026

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.

GPT-Lab Oct 12, 2026

AI Has Grown Up. Have We?

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.

Microsoft Research Blog Oct 7, 2026

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.

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