Exploring AI futures in libraries with the Futurescape Workshop community

Students express hope — and fear — over classroom AI use

Students are optimistic about AI's potential benefits in education but express concerns over misinformation, misuse, and lack of guidance, according to a Project Tomorrow survey. While district leaders are eager to integrate AI, students are hesitant due to fears of cheating accusations and uneven implementation across schools, highlighting the need for clear guidelines and AI literacy skills.

New AI system could accelerate clinical research

MIT researchers have developed an AI-based system called MultiverSeg that streamlines the process of segmenting biomedical imaging datasets, allowing users to rapidly and accurately mark regions of interest with minimal input. Unlike previous models, MultiverSeg can improve its predictions based on user interactions and does not require retraining for new tasks, significantly accelerating medical research and clinical applications.

Founding partner Microsoft to bring new Discovery AI technology to NJ AI Hub

In the A.I. Race, Chinese Talent Still Drives American Research

Generative AI’s Ethical and Societal Impacts in Higher Computing Education: a Systematic Review

Generative AI poses significant ethical and societal challenges in education, particularly concerning equity, academic integrity, and bias, prompting researchers like Janice Mak, Joyce Nakatumba-Nabende, and Tony Clear to develop the Ethical and Societal Impacts-Framework. This framework, based on a comprehensive analysis of existing research and university policies, serves as a practical tool for educators, computing professionals, and policymakers to guide the responsible integration of generative AI in higher computing education.

AI now drives every stage of materials research, review finds

The Korea Advanced Institute of Science and Technology (KAIST) has published an article that has undergone review by Robert Egan and editing by Lisa Lock. The article adheres to Science X's editorial process and policies, with editors emphasizing key highlights.

AI-Driven Personalized Learning: A Comprehensive Review

A systematic literature review by researchers Farhood, Nyden, and Beheshti highlights the transformative potential of artificial intelligence in personalizing learning experiences, emphasizing the benefits of AI in tailoring educational content to meet diverse student needs and improve learning outcomes. The review also addresses challenges such as ethical considerations, data privacy, and digital equity, advocating for responsible AI implementation to ensure equitable and inclusive education.

Gibbs College Hosts Panel on AI’s Growing Role in Education and Research

Gibbs College of Architecture at the University of Oklahoma held a panel on November 19, 2025, to discuss integrating artificial intelligence into its policies, teaching, and research. The event highlighted the importance of AI literacy, responsible use, and interdisciplinary collaboration, with various workgroups addressing issues like data governance, academic integrity, and curriculum development.

Engineering faculty drive AI innovation as Ohio University earns top quantum research honor

Ohio University is expanding its artificial intelligence programs by launching the state's first Bachelor of Science in AI and integrating AI-focused electives and certificates across various disciplines, reflecting the growing industry demand for AI expertise. The Russ College of Engineering and Technology is also enhancing its AI research and collaboration efforts, as demonstrated by the recent Workshop on AI in EECS and a major research achievement at IEEE Quantum Week 2025, showcasing the college's commitment to advancing AI education and innovation.

Miles College working with national organization to enhance AI education

Miles College is collaborating with NVIDIA to integrate AI across its academic programs, faculty research, and community engagement, providing resources to expand the college’s AI curriculum and train faculty and students. This initiative aims to make AI fluency a core competency for every graduate, fostering innovation and economic development in the region, while showcasing how colleges nationwide integrate AI to support economic goals and prepare students for high-demand jobs.