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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AI is revolutionizing tax preparation, offering efficiency and accuracy. Yet, it faces challenges like bias and reliability concerns.
Generative artificial intelligence – the use of computers to generate words, images, voice and videos indistinguishable from human-created content – is transforming every industry. Technology advances and new use cases appear daily with no slowdown in sight as gen AI is estimated to add $30 trillion annually to the world economy by 2030. Much of the impact is positive, including the ability to quickly synthesize massive quantities of data and text, freeing humans to spend their time on more creative tasks where we still excel. But there are also serious risks that must be mitigated.
Maryland mayor Brandon Scott (pictured below yesterday) said that the recovery operation to find the six missing workers in the Patapsco River was 'even more' dangerous today due to the weather.
The collapse of the Francis Scott Key Bridge in Baltimore on Tuesday cut off access to much of the city’s port — causing a suspension of vessel traffic that will disrupt a key trade lane and threaten to further tangle already-stressed supply chains.
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