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2,720 papers
The feasibility of using generative AI tools such as Grok, ChatGPT and Gemini to create images of imagined monozygotic twins as a means to increase representation of twins in face recognition training sets is discussed.
This work designs a triplet-based forced-choice task comprising 300 cases, including plagiarism examples, cover songs, and AI-generated music, and introduces the MATCHA dataset, a collection of 1105 perceptual assessments of attribute-based music matches from 83 expert participants.
A framework for solar-powered space generative AI in which a satellite receives a user prompt, executes a diffusion-based image-generation model, and downlinks the compressed result within a strict time window is presented.
A sociotechnical process theory is developed that distinguishes an AI/algorithmic incident from an AI-related organisational crisis and, in turn, from an AI-related organisational scandal and proposes accountable transparency as a proposed response configuration.
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MusGU+ is introduced, a musician-centered evaluation framework organized around three dimensions: Adaptability, Usability, and Controllability that supports informed selection and practical adoption of generative systems by musicians.
A large-scale dataset of agent activity on GitHub, exposing not only what agents contribute but also how they work enables research on agent behavior, efficiency and cost, task formulation, failure modes, and human-agent collaboration in agentic software engineering.
Qualitative evidence is provided that student’s AI-related characteristics may contribute to learning interaction through AI-supported learning practices and creative task involvement through AI-supported learning practices and creative task involvement.
This cross-sectional survey examined whether students' perceptions of AI are associated with their self-reported critical thinking, and whether self-regulated learning accounts for any such association.
Drawing on political theory, especially Nancy Fraser's account of participatory parity, it is shown how moving from representational fairness to recognitional justice provides better conceptual and normative tools for governing central fairness challenges in generative AI.
While multi-agent LLM pipelines show real promise for legacy code specifically, since their capacity for autonomous context reconstruction and iterative, feedback-driven refinement directly addresses the sparse documentation and thin test coverage that define legacy environments, the literature to date has been validat...
This study focuses on the initial stages of a broader design project aimed at developing a GenAI mediator for consensus-oriented online deliberation, and derives design knowledge, articulated through design requirements, for emotion-aware GenAI mediation.
The findings suggest that AI-powered anomaly detection significantly strengthens observability and security in cloud-based applications, enabling proactive threat mitigation and operational optimization in increasingly complex distributed environments.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
A Blog post by Liquid AI on Hugging Face
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
Generative AI
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