How we really judge AI
Forget optimists vs. Luddites. Most people evaluate AI based on its perceived capability and their need for personalization.
Forget optimists vs. Luddites. Most people evaluate AI based on its perceived capability and their need for personalization.
The value you assign sets expectations, shapes behavior, and, once established, is difficult to reverse.
Read MoreSendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
Read MoreResearchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.
Read MoreThe MIT Advanced Vehicle Technology Consortium provides data-driven insights into driver behavior, along with trust in AI and advance vehicle technology.
Read MoreBy enabling users to chat with an older version of themselves, Future You is aimed at reducing anxiety and guiding young people to make better choices.
Read MoreA study of 137 leaders and their direct reports during the early stages of Covid-19 shows that men were more likely to resort to abusive behavior during stressful moments.
Read MoreCo-hosted by the McGovern Institute, MIT Open Learning, and others, the symposium stressed emerging technologies in advancing understanding of mental health and neurological conditions.
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