Artificial intelligence is usually analysed as a productivity technology, a labour-market shock, or a governance problem. This article argues that its deeper political significance may arise from a fourth channel: ontological displacement. Ontological displacement occurs when a technology weakens the socially recognise...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Inspired by the workflows of expert choreographers, CustomDance introduces a novel paradigm to AI-assisted choreography through three interconnected stages that highlights the significant creative utility and empowering potential of the authors' AI-assisted choreography paradigm, but also outperforms competitive baseli...
Xu-Long Tang, Kaixing Yang, Xiaohu Guo et al.· 0 citations
Team communication breakdowns represent a contributor to patient safety risks within action teams-defined as interdependent groups of specialized people who perform coordinated work under high workload, time pressure, and uncertainty. Approximately 70% of such instances lead to adverse patient outcomes amid intense tim...
Jonathan Isaac Segal (Cornell University), Jalynn Blu Nicoly (Colorado State University), Huajie Cao (Michigan State University) et al.· 0 citations
It is argued for shifting the field's focus from methods to models, along two complementary lines: existing tools let us characterize and compare what different models represent and compute, and whether a model can actually be understood by the humans who rely on it.
Julien Colin, Nuria Oliver, Thomas Serre· 0 citations
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Thermal feedback can enrich immersive interaction, but thermoelectric devices often change temperature too slowly to match interactive timing. We present TherMosaic, a spatiotemporal thermal feedback approach that accelerates perceived temperature transitions by leveraging two perceptual mechanisms: spatial summation a...
Zining Zhang, Jiasheng Li, Myungin Lee et al.· 0 citations
Generative AI systems increasingly shape cultural production, yet creative intentions, cultural meanings, and interpretive practices often can't be articulated through computational metrics alone. This paper presents Beyond Bias, a collaboration between Gooey.AI and Goethe-Institut India, as a participatory approach to...
Archana Prasad, Isha Singh, Tom Simmons· 0 citations
The findings show how multimodal emotion logging can shape participants' experiences and data logging behaviors, and demonstrate its potential to support the collection of richer, more nuanced emotion data.
Pragya Singh, Prashasti Gupta, H. Bhandari et al.· 0 citations
MIVAIS is presented, a dual-layered research platform designed to abstract the structural complexities of mixed-initiative VA and evaluates the framework's expressiveness and efficiency through expert case studies with HCI and VA researchers, demonstrating how MIVAIS effectively lowers the barrier to prototyping and ev...
Tobias Stähle, Simone Schneider, R. Sevastjanova et al.· 0 citations
Accountable translation is developed as an analytic framework for making consequential changes attributable, inspectable, scoped in validation, and contestable, and extends HCI accounts of traceability and end-user debugging by locating professional authority and repair rights across heterogeneous technical and organiz...
Scholarly knowledge is typically encountered in stabilized form, while the process histories through which research objects, claims, and contributions acquire form remain largely hidden. This study examines how human-AI scholarly collaboration develops under matched starting conditions and whether those conditions stab...
Eye movement biometrics (EMB) is an emerging behavioral modality for user authentication, particularly in virtual- and augmented-reality systems, where gaze dynamics contain distinctive subject-specific features. However, robust EMB systems require diverse, high-quality gaze recordings that are expensive to collect and...
Kamrul Hasan, Mehedi Hasan Raju, Oleg V. Komogortsev· 0 citations
Voice AI systems increasingly mediate customer care interactions where caller presentation cues such as accent, affect, fluency, and urgency are available alongside the service request. Existing fairness and safety evaluations cover speech recognition disparities, spoken dialogue bias, and voice agent capability, but r...
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduSep 30, 2026
Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
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