The emergence of digital afterlife technologies and consciousness uploading presents unprecedented ethical challenges that existing philosophical frameworks inadequately address. This paper introduces a novel theoretical framework—Existential Continuity Ethics (ECE)—that transcends traditional binary approaches to cons...
Kwan Hong TAN· Zenodo (CERN European Organi...· 0 citations
Generative Artificial Intelligence (GenAI) coding tools are transforming visualization education. They can assist with implementation and design, but they can also let students bypass intended learning trajectories. In this paper, we share our retrospective experience managing and teaching AI use in an upper-level visu...
This position paper challenges the dominant “AI as companion” paradigm by proposing a shift: from AI that simulates relationships with humans to AI that supports relationships between humans.
Yao Xiao, Rafael A. Calvo· CHI Extended Abstracts· 2 citations
Social media platforms, especially Facebook parenting groups, have long been used as informal support networks for mothers seeking advice and reassurance. However, growing concerns about social judgment, privacy exposure, and unreliable information are changing how mothers seek help. This exploratory mixed-method study...
Shayla Sharmin, Sadia Afrin· 0 citations
Reach audiences
Advertise in front of researchers, engineers, and readers.
In the age of Large Language Models (LLMs), much work has already been done on how LLMs support medication advice and serve as information providers; however, how mothers use these tools for emotional and informational support to avoid social judgment remains underexplored. This study conducted a 10-day mixed-methods e...
Conditionally automated driving systems require human drivers to disengage from non-driving-related activities and resume vehicle control within limited time budgets when encountering scenarios beyond system capabilities. Ensuring safe and comfortable transitions is critical for reducing driving risks and improving use...
Kexin Liang, Simeon C. Calvert, J. W. C. van Lint· 0 citations
Study of how GenAI use and task context relate to professional developers' perceived cognitive load and whether wearable-derived physiological characteristics provide additional information beyond this context suggests developers' perceived cognitive load during GenAI-supported software development should be evaluated...
Charlotte Brandebusemeyer, Daniela Gasser, Tobias Schimmer et al.· 0 citations
AI-assisted cheating has become an important threat to the security of online exams. This study examines whether the risk of AI-assisted cheating in the final exam can be predicted using students' digital traces in the learning management system (LMS) during the first eight weeks of the semester. The sample comprised 5...
Many of the qualities that matter most in how people learn and grow, how someone regulates their emotions, reflects on a setback, or stays aware of others during a difficult conversation, are not directly observable. They have to be inferred from how someone speaks, moves, and sounds over time, and they resist the kind...
Siddhant Jain, Dimitra Tsovaltzi· Companion Publication of the...· 0 citations
We present Waypoint 1.5, a real-time diffusion world model for interactive video generation on consumer-grade hardware. Unlike general video diffusion models, interactive world models (iWMs) must respond to dense user controls under strict latency and throughput constraints. Waypoint 1.5 is pre-trained on 100,000 hours...
Doxxing, the malicious disclosure of personal information, has become a pervasive privacy threat. Yet existing research remains predominantly Western-centric, limiting our understanding of how doxxing unfolds in contexts where mandatory identity systems, platform governance, and cultural logics fundamentally reshape pr...
Xiao Zhan, Shi-Jing He, Chi Zhang et al.· 0 citations
AI agents already operate graphical software through screenshot-based computer use, so the pressing question is not whether agents can operate software, but how well software supports them through structured, controllable channels. We formalize this need as the GUI-API parity principle: every capability available to hu...
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.
