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Physicians often encounter added challenges in diagnosing diseases while examining images of darker complexions.

Artificial Intelligence, Computer science and technology, Ethics, Health care, Media Lab, Medicine, Research, School of Architecture and Planning, Social justice, Technology and society, UncategorizedMay 8, 202441Views0Likes0Comments
A study conducted by MIT researchers has discovered that doctors have trouble accurately diagnosing skin diseases in people with darker skin based solely on images. The study consisted of more than 1,000 dermatologists and general practitioners and the results found that dermatologists accurately diagnosed about 38% of images examined. However, when considering those with darker…

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Physicians often face greater challenges in diagnosing diseases when examining pictures of darker-toned skin.

Artificial Intelligence, Computer science and technology, Ethics, Health care, Media Lab, Medicine, Research, School of Architecture and Planning, Social justice, Technology and society, UncategorizedMay 8, 202433Views0Likes0Comments
A study from Massachusetts Institute of Technology (MIT) involving over 1,000 doctors, including dermatologists and general practitioners, revealed that accuracy of diagnosing skin diseases based on images is lower when the patient has darker skin. Dermatologists correctly identified 38% of the images they viewed, but this rate dropped to 34% when the images displayed darker…

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Physicians often face challenges in identifying diseases through images of individuals with darker skin tones.

Artificial Intelligence, Computer science and technology, Ethics, Health care, Media Lab, Medicine, Research, School of Architecture and Planning, Social justice, Technology and society, UncategorizedMay 7, 202436Views0Likes0Comments
A study conducted by Massachusetts Institute of Technology (MIT) researchers has revealed that physicians are less adept at diagnosing skin diseases in patients with darker skin, solely based on image analysis. This disparity was revealed in a study that involved over 1,000 dermatologists and general practitioners. The accuracy of dermatologists in characterizing images of darker…

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CEO of OpenAI Sam Altman and President Sally Kornbluth engage in a conversation about the potential trends in AI.

Artificial Intelligence, Business and management, Careers, Community, Ethics, History of science, Human-computer interaction, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, President Sally Kornbluth, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Sustainability, Technology and society, UncategorizedMay 7, 202443Views0Likes0Comments

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Three Inquiries: Understanding the essentials of audio deepfakes.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Ethics, Interview, Machine learning, MIT Schwarzman College of Computing, Natural language processing, School of Engineering, Technology and society, UncategorizedMarch 16, 202441Views0Likes0Comments
Audio deepfakes, although often associated with unethical practices, have potential uses that can benefit society, suggests postdoc Nauman Dawalatabad in a Q&A with MIT News. He highlights the need for technology that protects sensitive information held within speech patterns, such as age, gender, and health conditions, stating that obscuring the speaker's identity in audio deepfakes…

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MIT’s Generative AI Week promotes conversation among different fields.

academics, Algorithms, Architecture, Artificial Intelligence, Biology, Civil and environmental engineering, Comparative Media Studies/Writing, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, DMSE, EAPS, Education, Electrical Engineering & Computer Science (eecs), Ethics, Faculty, Health, Laboratory for Information and Decision Systems (LIDS), Machine learning, Media Lab, MIT Morningside Academy for Design, MIT Schwarzman College of Computing, MIT Sloan School of Management, Robotics, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Staff, Students, teaching, Technology and society, UncategorizedMarch 7, 202441Views0Likes0Comments
In late November, Massachusetts Institute of Technology (MIT) held a Generative AI Week involving faculty, staff, and students from the institution. The event served as a platform to discuss the opportunities and important applications of generative artificial intelligence technologies across varied disciplines. The week's agenda included a main symposium and four subject-specific symposia. MIT President…

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Safety Guidelines in the Stratosphere: The Potential Influence of Aviation on Regulating Health-based AI Systems

Aeronautical and astronautical engineering, Artificial Intelligence, Aviation, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Digital technology, Electrical Engineering & Computer Science (eecs), Ethics, Health care, Institute for Medical Engineering and Science (IMES), Jameel Clinic, Machine learning, MIT Schwarzman College of Computing, School of Engineering, Technology and policy, Technology and society, UncategorizedMarch 7, 202438Views0Likes0Comments
A 2022 report from the International Air Transport Association revealed that the odds of dying in a plane crash are extremely low, with an industry fatality risk of 0.11. This implies that a person would need to fly daily for over 25,000 years to have a 100% chance of experiencing a fatal accident, underscoring why…

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How to handle AI in healthcare?

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical engineering and computer science (EECS), Ethics, Government, Health sciences and technology, Jameel Clinic, Machine learning, Medicine, MIT Schwarzman College of Computing, Policy, School of Engineering, Special events and guest speakers, Technology and society, UncategorizedMarch 7, 202443Views0Likes0Comments
The MIT Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic) held an AI and Health Regulatory Policy Conference on December 4, sparking debates among faculty, regulators from the US, EU, and Nigeria, and industry experts about the regulation of AI in health. The conference centered around the question of whether the "black…

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It is more challenging for physicians to identify diseases when examining images of darker skin tones.

Artificial Intelligence, Computer science and technology, Ethics, Health care, Media Lab, Medicine, Research, School of Architecture and Planning, Social justice, Technology and society, UncategorizedMarch 7, 202434Views0Likes0Comments
AI technology could help improve doctors' accuracy when diagnosing skin diseases in individuals with darker skin, scientists from the Massachusetts Institute of Technology have found. The study involved over 1,000 dermatologists and general practitioners, with dermatologists correctly identifying roughly 38% of skin conditions seen in images, but this figure dropped to 34% where patients had…

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