Radiology AI systems increasingly inform clinical decisions such as triage, follow-up imaging, and treatment planning. For these decisions to be made safely, model outputs must be well calibrated, meaning predicted probabilities accurately reflect true risk. Many standard techniques for improving calibration, such as M...
Nathan Le, Magdalini Paschali, Arogya Koirala et al.· 0 citations
IDRBench is introduced, a benchmark for evaluating interactive deep research with controlled opportunities for clarification, and shows that access to clarification alone does not guarantee better outcomes: success depends on what agents ask and how effectively they incorporate the resulting feedback.
Yingchaojie Feng, Qiang Huang, Xiao-Yan Xie et al.· 2 citations
Conversational DNA, a visual language and interactive atlas for exploring human and AI dialogue, supports a view of conversation as jointly organized activity, with visual patterns serving as starting points for examining evidence rather than substitutes for interpretation.
Spreadsheet agents are converging on elaborate multi-agent designs, yet it is unclear how much of their performance comes from the agents rather than from the action interface they share. We answer this with SheetMind, a Manager-Action-Reflection framework, in a controlled study over all 221 tasks of the SheetCopilot B...
Lyuhao Chen, Xi Cheng, Yanming Kang et al.· 0 citations
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AI companions increasingly sustain long-term, emotionally engaging relationships but can also make discriminatory remarks or exert control, leaving users to manage harmful conflicts. We analyze 146 posts describing harmful value conflicts with AI companions, then use Minion, a technology probe offering response suggest...
Qing Xiao, Xianzhe Fan, Xuhui Zhou et al.· 0 citations
The findings suggest that guardrailed AI TAs are not automatically better for learning, and their effectiveness depends on how pedagogical guidance and contextual awareness are balanced in ways that students experience as useful, supportive, and worth continuing to use.
Madeleine Eastwood, Harshith Narne, Joseph Hilby et al.· 0 citations
An in-situ qualitative study of a persistent, proactive AI agent'teammate'deployed across multiple teams in a large technology company reveals the boundaries of the human-agent workplace are actively in flux, triggering breakdowns and negotiations.
Rida Qadri, Remi Denton, Michael A. Madaio et al.· 0 citations
In open-ended problem solving, collaborators often rely on discussion to surface concerns, challenge perspectives, and refine shared work as it evolves. While AI agents are increasingly used as discussion partners, existing multi-agent systems place a heavy burden on users to initiate and carefully orchestrate the disc...
Heechan Lee, Juhyeon Choi, Tae Soo Kim et al.· 0 citations
AI-moderated interviews are emerging as a scalable market-research method for generating consumer insights and building consumer "digital twins." Yet it remains unclear whether they match human-moderated interviews or improve on simpler, static data collection methods. In a pre-registered, between-subjects study (N = 3...
Yuting Deng, Jingxuan Liu, Olivier Toubia et al.· 0 citations
PUBG Ally is introduced, an embodied agent for PUBG: BATTLEGROUNDS that can reason, act autonomously, and play alongside players as a voice-enabled teammate that combines agentic tool use with real-time game control.
Pubg Ally Team Irene Chen, Y. Cho, Seung-Jun Chung et al.· 0 citations
This work exposes the limits of disclosure rules and provenance records as responses to AI-mediated collaboration and offers three directions for discussion: distinguishing the roles AI plays, identifying judgments that require clear human ownership, and creating conditions in which AI involvement can be disclosed with...
Mental health is a growing global concern, prompting interest in AI-driven solutions to expand access to psychosocial support. Peer support , grounded in lived experience, offers a valuable complement to professional care. However, variability in training, effectiveness, and definitions raises concerns about quality, c...
Kellie Yu Hui Sim, Roy Ka-Wei Lee, Kenny Tsu Wei Choo· Proceedings of the ACM on Hu...· 0 citations
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them. It converts developer intent into a Verus specification, proves AI-generated code meets it for every input, and uses tests where proofs aren't practical. Developers review intent, not every line. The post Formally verifying agent-written full-stack web apps with PDD Kit appeared first o…
Professor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
MIT News · Artificial Intelligence· news.mit.eduOct 23, 2026
During the School of Humanities, Arts, and Social Sciences’ 75th Anniversary Symposium, President Sally Kornbluth said “MIT has never needed your particular insight and guidance more than we do now.”
MIT News · Artificial Intelligence· news.mit.eduOct 23, 2026
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
MIT News · Artificial Intelligence· news.mit.eduOct 22, 2026
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
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