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
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
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· Proceedings of the 2026 ACM...· 0 citations
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...
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· Proceedings of the 14th Nord...· 0 citations
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.· Proceedings of the 14th Nord...· 0 citations
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.· Proceedings of the 14th Nord...· 0 citations
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.· Proceedings of the 14th Nord...· 0 citations
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...
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· Proceedings of the 14th Nord...· 0 citations
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
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.
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.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
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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