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LLMs believe false statements even after explicit warnings that they’re false

ai, AI (Artificial Intelligence), Artificial Intelligence, falsehoods, LLMs, Research, training

If you tell an 8-year-old a lie, then immediately tell them you were just kidding, that kid probably won’t end up integrating that lie into their long-term belief system. But new research on so-called “negation neglect” finds that LLMs have a robust tendency to accept false or fictitious statements even when they are clearly and […]

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Media Advisory: MIT to establish regional quantum hub

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MIT and the Commonwealth of Massachusetts announced plans to establish the Quantum Systems Laboratory (QSL) at MIT, which will be open to researchers across the region. With the new funding from the state, which will match federal funding for quantum research already underway at MIT, the Institute aims to begin construction on the QSL facility this summer. The

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Technology usually creates jobs for young, skilled workers. Will AI do the same?

ai, AI (Artificial Intelligence), Artificial Intelligence, automation, Careers, Economics, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, manufacturing, Research, School of Humanities Arts and Social Sciences

At any given time, technology does two things to employment: It replaces traditional jobs, and it creates new lines of work. Machines replace farmers, but enable, say, aeronautical engineers to exist. So, if tech creates new jobs, who gets them? How well do they pay? How long do new jobs remain new, before they become

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Study: Firms often use automation to control certain workers’ wages

ai, AI (Artificial Intelligence), Artificial Intelligence, automation, Behavioral Economics, Business and management, Inequality, Labor and jobs, Research, School of Humanities Arts and Social Sciences, Social sciences, Technology and society

When we hear about automation and artificial intelligence replacing jobs, it may seem like a tsunami of technology is going to wipe out workers broadly, in the name of greater efficiency. But a study co-authored by an MIT economist shows markedly different dynamics in the U.S. since 1980. Rather than implement automation in pursuit of maximal

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Making the case for curiosity-driven science

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“The thing that really struck me when I came to MIT and strikes me every single day is the stuff that’s going on here is amazing. The science, the engineering … every day I hear something that makes my jaw drop,” remarked President Sally Kornbluth during a live discussion with Lizzie O’Leary of Slate’s “What

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Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models

ai, AI (Artificial Intelligence), Artificial Intelligence, Computer science and technology, Computer vision, Jameel Clinic, Laboratory for Information and Decision Systems (LIDS), Machine Learning, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, School of Engineering, Technology and society

In today’s hospitals and clinics, a dermatologist may use an artificial intelligence model for classifying skin lesions to assess if the lesion is at risk of developing into a cancer or if it is benign. But if the model is biased toward certain skin tones, it could fail to identify a high-risk patient.Perhaps one of

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IDC: How EMEA CIOs can jumpstart AI rollouts

ai, AI (Artificial Intelligence), AI and Us, AI Business Strategy, AI Market Trends, Artificial Intelligence, Compliance, Data Engineering & MLOps, Data protection, Deep Dives, emea, enterprise, Environment & Sustainability, Europe, Features, governance, Governance, Regulation & Policy, Human-AI Relationships, IDC, inference, Inside AI, LLM, Machine Learning, Natural Language Processing (NLP), Opinion, regulation, Research, Special Reports & Series, Trust, Bias & Fairness, World of Work

Getting stalled enterprise AI rollouts in the EMEA region moving again will require CIOs to aggressively audit their systems. Over the past 18 months, AI deployments across Europe advanced far beyond initial testing. Companies poured capital into large language models and machine learning, expecting heavy operational upgrades. IDC research reveals that boards are slowing down,

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The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computing

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The following is a joint announcement by the MIT Schwarzman College of Computing and IBM.IBM and MIT today announced the launch of the MIT-IBM Computing Research Lab, advancing their long-standing collaboration to shape the next era of computing. The new lab expands its scope to include quantum computing, alongside foundational artificial intelligence research, with the

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