Large language models (LLMs) have become fixtures of academic work even as their users describe them as degrading their writing, thinking, and skills. Dominant adoption frameworks read continued use as evidence of satisfaction, and cannot explain continued use of a distrusted tool. We interviewed 36 graduate student wo...
Matt Viana, Patrick Erickson, Shomir Wilson et al.· 0 citations
Recent generative video editing models enable video content modification (e.g., changing a character) but target short clips. Extending them to full multi-shot videos requires tedious work to locate relevant content across shots, segment it into clips, craft context-aware editing prompts for each clip, and repeatedly a...
Boyu Li, Yu-Qian Zhou, Duo-Tun Wang et al.· 0 citations
Mobile virtual reality (MVR) provides low-cost access to extended reality (XR), but its limited input restricts use of common locomotion techniques such as head-decoupled and velocity-controlled steering. Using a low-cost controller with an audio-based button, we compared gaze- and controller-directed steering and tele...
Kristen Grinyer, Daniel Zielasko, Robert J. Teather· 0 citations
Findings show that researchers leaned on GenAI to fill knowledge gaps while maintaining epistemic agency for novelty discovery, and an expertise paradox was uncovered: GenAI outputs were hardest to verify when most needed.
This work model the provider as an adversary whose instrument is effort and expresses fairness as a constraint requiring that leaving never cost more than joining, and proves that this constraint holds for every assignment of effort weights if and only if no component of the exit flow exceeds its counterpart at entry.
Oluwadamilola Awakan, Tawan Aroonwechkul, Roshan Gunjoor et al.· 0 citations
This work examines post-mortem digital governance as a sociotechnical problem of cooperative and contested work, focusing on who acts when the user is gone, what claims they make, and what barriers shape recovery, preservation, closure, and protection.
This work investigated how interviewers experience AI assistance for probing during semi-structured interviews and proposed three implications for AI-assisted human-to-human interaction: managing social pressure, balancing idea alignment with inspiration, and preserving interpersonal presence.
The Epstein Files Engine, an A.I. agent The New York Times deployed to investigate Jeffrey Epstein's files, is described and it is argued that newsroom agents serve newsrooms best not as autonomous writers, but as interfaces to source material and institutional knowledge.
D. K. Nguyen, T. M. Terol, Dylan Freedman et al.· 0 citations
Skill Profiling with Attributable Reasoning (SPAR), an eight-IMU garment and pressure-insole system that classifies each punch as expert or novice and treats an explanation of that prediction as feedback, is presented.
Nibraas Khan, Hanchen David Wang, E. Bullard et al.· 0 citations
A single-user case study of InMyStyle, a privacy-first, single-user system that adapts small language models to rewrite AI-edited text towards an individual user's writing style without an instruction prompt at inference, finds gains favor content-preserving naturalization more than recovery of personal style.
This paper describes how the three layers fit together and a working Flutter prototype on Android that combines them with an ephemeral cloud agent invoked only when the user asks, and a working Flutter prototype on Android that combines them with an ephemeral cloud agent invoked only when the user asks.
Drawing on daily individual reflections, group reflections, and post-camp interviews, it is found that teachers' adaptive practices of repair, differentiation, translation, and balancing sit at the intersection of three tensions (technology, learner, and instruction).
Fasika Melese, Rui-Yang Wu, Xin-Yue Cui et al.· 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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