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
AI teaching assistants (AI TAs) backed by large language models (LLMs) and pedagogical guardrails are increasingly being integrated into programming courses, providing students with scalable access to hints, conceptual explanations, and code-level feedback. However, guardrails may also create friction. If students feel...
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 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
Reach audiences
Advertise in front of researchers, engineers, and readers.
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
Multimodal large language models (MLLMs) can connect visualization patterns to external causes, consequences, and domain knowledge, but the evidential basis of these interpretations is often unclear. We present an exploratory study of 102 visualizations from four sources, three MLLMs, and four input conditions that var...
I. Eliza, Md Dilshadur Rahman· arXiv.org· 0 citations
The need to design for the quality of the residual soundscape, balance user control with interaction demands, and support guided, interpretable personalization is highlighted.
Jeremy Zhengqi Huang, Emani Hicks, Sidharth et al.· 0 citations
Audo-Sight is presented, an AI-driven assistive system that spans across Edge-Cloud continuum and enables BLV individuals to perceive their surroundings through voice-based conversation and provides low-latency, accurate, and human-friendly responses through a novel mechanism that seamlessly fuses Edge and Cloud respon...
J. Bradshaw, Mohsen Riahi Alam, Bhanuja Ainary et al.· 1 citation
Young job seekers frequently explore their career possibilities by browsing peers' posts that share job-seeking experiences. However, static browsing requires them to reconstruct fragmented cases and privately judge what others' experiences mean for themselves, sometimes intensifying anxiety through upward social compa...
Pengping Tan, Baoquan Zhao, Shuai Ma et al.· 0 citations
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.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
