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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I induce the estimable Professor Tinglong Dai of Johns Hopkins University, an acclaimed AI specialist in the field of supply chain, to laugh aloud a few moments into our conversation.
The AI Incident Database chronicles over 2,000 incidents of AI causing harm. It’s a gulp-worthy number that ominously continues to grow. But the devil is in the details and a mere count does not provide sufficient detail in degrees of harm or malevolent intent. Pretending AI is safe is sheer folly but imagining it the bringer of doom is equally foolish. To get a more realistic read on the damage AI has caused and is likely to cause, here’s a hard look at reported incidents in the real world.
Professor Subodha Kumar discusses deep fake technology and its potential impact on elections as we head into election season.
Car prices could surge 10% and more as the United Auto Workers threatens additional walkouts, according to experts — even as the bitter standoff threatens GM and Ford with punishing losses as high as $125 million a week.
AI "can potentially confuse or mislead viewers if they're not aware content was generated or edited with AI," TikTok said
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