A new AI model predicts which short-form videos triggering suicidal thoughts in vulnerable viewers pose higher risk before they reach large audiences, which can improve user safety.
While generative AI (GenAI) can help define viable objectives for organizational and policy decision-making, the overall quality of those objectives falls short unless humans intervene.
A new study finds that telling consumers their returned items will be “kept out of landfills” significantly increases participation in take-back programs; telling them they may be resold? Not so much.
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It was March 25, 2000. A sea of red filled State Street, and Badger fans around the country were celebrating. The University of Wisconsin-Madison men’s basketball had just defeated Purdue in the NCAA tournament, securing a spot in the Final Four.
Diversity on key corporate committees is supposed to produce better decisions. But a study at Cambridge Judge Business School finds that diverse views rarely ‘average out’ as assumed, but instead lead to systematic biases toward certain types of errors.
Citing research from investment firm Cowen & Co, research company Grand View Research and a consumer poll, the report found that binge drinking in US states that legalised the drug has dropped 9% below the national average. Excessive drinking in states with a legal cannabis market is also 11% lower than states where cannabis remains illegal.
The United States government is tightening security by providing a higher level of identification validation. This isn’t new -- the REAL ID Act passed in 2005 -- but it’s taking effect next year. It was passed in an effort are to make it more difficult to counterfeit peoples’ identity and personal information using their identification cards (IDs) like state driver’s licenses. The problem is, how much good will it do if people who need to update their IDs to this higher security format don’t know they need to do so?
CATONSVILLE, MD, October 25, 2019 – A new research study published in the October edition of the INFORMS journal Marketing Science (Editor’s note: The source of this research is INFORMS) has revealed how taxi drivers use mobile hailing technology to select longer, more profitable trips to optimize their earnings, rather than seeking to increase the number of trips or working hours to achieve higher earnings.
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