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This paper introduces a theory-informed computational framework for automated fake news detection and explanation, integrating cross-disciplinary insights from social sciences and psychology, and validates it through experiments on benchmark datasets.
The article calls for global, independent cooperation on AI security to ensure the safety of humanity and the planet, highlighting initiatives like AIReason.
MIT Schwarzman College of Computing has launched a pilot program to train educators in teaching AI across disciplines through workshops and collaborative materials.
The Bit Radix Theory argues that different forms of intelligence, such as human and AI, may have fundamentally distinct cognitive approaches rather than converging, emphasizing complementary strengths. The paper promotes open critical engagement by inviting readers to test the theory using AI tools.
Computer science enrollment is declining at U.S. universities, but schools like Colby College are integrating AI education across disciplines to prepare students for a changing workforce.
Bailey Flanigan, a shared faculty member at MIT, discusses her interdisciplinary path from medicine to public health to economics and now computational political science, focusing on democratic participation.
MIT held its inaugural Music Technology Research Showcase, featuring projects from the first cohort of its new graduate program, including AI co-improvising agents, sound-art installations, dance-generated music, and EEG-based tune identification.
The MIT AI and Society Forum convened experts to discuss AI's societal impacts on labor, work, civil discourse, and arts, featuring keynotes from economists and computer scientists, panel discussions, and a musical performance exploring generative AI in the arts.
The NSF has renewed funding for MIT-led Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) for five more years, increasing annual funding from $4M to $4.98M. The institute focuses on the bidirectional relationship between AI and physics, applying ML to particle physics, nuclear physics, and astrophysics while using physics principles to improve AI systems.
SciAtlas is a large-scale, multi-disciplinary academic knowledge graph containing over 43 million papers and 3 billion triplets, designed to provide structured knowledge for AI-driven automated scientific research with a neuro-symbolic retrieval algorithm.
Announces a new article in Daedalus journal proposing a unified science of intelligence integrating physics, neuroscience, and AI.
MIT and Hasso Plattner Institute launch a 10-year collaborative hub (MHACH) focused on AI and creativity, fostering interdisciplinary research and educational programs at the intersection of computing, design, and artificial intelligence.