A roster of artificial intelligence experts calls for an international body to better identify the risks, opportunities, developments, and possible global effects of AI.
(Artificial Intelligence, Cybersecurity, Computing, Technology)
MIT researcher argues for a response that goes beyond fighting AI with AI.
Cookies and emojis are out. What’s in: Using artificial intelligence and machine learning to understand social customers in the field and on the fly.
New technologies are recognizing and learning human emotions, and using that knowledge to improve everything from marketing campaigns to health care.
From assessing bridge infrastructure to predicting worker fatigue risk via voice analysis, these startups are widening the scope of what artificial intelligence can do.
Generative artificial intelligence raises novel legal questions about data use and how content will be regulated. A law partner offers guidance.
Unstructured data, artificial intelligence, and machine learning are fast becoming business requirements. Here is insight from data scientists and practitioners.
A new study looks at what wording should be used to identify content created by artificial intelligence.
How does access to a generative AI tool affect work in a call center? That was a research question addressed by MIT Sloan Professor Danielle Li at a recent session of the MIT Institute for Work and Employment Research (IWER) weekly seminar series.
