This paper refines and empirically evaluates the Artificial Personality Model (APM), a hybrid framework integrating human-centred and machine-specific personality dimensions, and contributes an empirically refined framework and a novel instrument for measuring perceived artificial personality, offering practical guidan...
Alexander Dregger, Barbarella Petz, Erik Kuhn et al.· 0 citations
Generative AI now produces images and poems that people cannot reliably distinguish from human-made work, so people often judge for themselves who made a work. We examine how these perceived-authorship judgments relate to aesthetic preference. In a public online AI Art Turing Test, 11,123 people judged whether each of...
Recommendation-driven platforms can reshape not only what users see, but also who becomes visible and how community boundaries are negotiated. We examine Xiaohongshu discussions surrounding a perceived World Cup-related audience influx to understand how users attributed community change and how those explanations relat...
General-purpose smart-home technologies are increasingly present in family life, yet how they support or disrupt autistic children and families with autistic children remains underexamined. We conducted a multi-source qualitative study drawing on five caregiver interviews, Xiaohongshu (also known internationally as Red...
Ting-Ting Xiang, Wei-Han Jiang, Hrishitva Patel et al.· 0 citations
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Overall, the findings demonstrate that voice technologies can reproduce existing accent biases both by encouraging users to suppress regional features and by activating established social stereotypes through synthetic voices.
Dana Serditova, Kevin Tang, J. Steffens· 0 citations
This work introduces EnvOS, a framework for building and certifying environments that change mid-task, and applies it to stale information, where a value the agent has already seen changes before the agent acts on it.
Ankush D. Kadu, Athira Gopal, Niharika Singh et al.· 0 citations
AI assistants are increasingly embedded in computational notebooks, scientific workflows, software engineering tools, and learning systems, yet human-AI interactions are often treated as transient prompt-response exchanges rather than durable data products, hindering reproducibility, explainability, replay, behavioral...
Michela Taufer, Kin Ng, Ian Lumsden et al.· 0 citations
It is claimed that many tasks commonly delegated whole to a model are in fact deterministic tasks with a small generative core, and decomposing such a task yields a measurable and desirable property the authors call parity by construction: on the extracted sub-tasks the model-size performance curve becomes flat, becaus...
This is the first study in smart contract synthesis to gather missing requirements before generation and check the result against an independently written executable model, and proposes an elicitation-first architecture.
Abhinav Goel, A. Capponi, Alfio Gliozzo et al.· 0 citations
This exploratory, theory-building qualitative study introduces cultural distance, the gap between GenAI's default cultural repertoire and the situated demands of teachers'practice, and presents cultural distance as a promising framework requiring further examination and draw implications for designers, policymakers, an...
Qing Xiao, Rui-Wei Xiao, Han-Qi Li et al.· 2 citations
PolicyMediator is introduced, a cognition-constrained leader-multi-follower Stackelberg framework with bilateral mediation that improves the aggregate government objective, combining economic performance, employment benefit, and policy-access equality, by 42.4% and average OPC utility by 40.9%.
Jie-Ming Li, Bin Guo, Georgina Curto et al.· 0 citations
It is found that finishing an experiment and reproducing its signatures are different things, and across four multimodal models, each run ten times per task, it is found that finishing an experiment and reproducing its signatures are different things.
Kiante Fernandez, Caitlin Chen, Jia-Lu Zhou 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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