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To gain competitive advantage, authenticity is as important as AI. As I type, Microsoft Copilot suggests ways to continue, ...
Insights from data and ML algorithms can be invaluable, but be warned — mistakes can be irreversible. These recent ...
Researchers have developed a novel attack that steals user data by injecting malicious prompts in images processed by AI ...
AI has a growing role in processing health insurance claims AI uses algorithms trained on types of patients and types of care. But these decisions often require nuance, which AI may not have.
Sometimes the reasons algorithms fail are fairly logical. For example, changes to underlying data can erode their effectiveness, like when hospitals switch lab providers.
Sometimes the reasons algorithms fail are fairly logical. For example, changes to underlying data can erode their effectiveness, like when hospitals switch lab providers.
Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives.
At a time when AI is reshaping pharma, Reverba Global CEO Cheryl Lubbert explained in an interview why empathy, context, and ethics still require a human touch.
Morning Overview on MSN3h
Can AI predict natural disasters before humans can?
Advancements in technology, particularly in Artificial Intelligence (AI), are transforming our ability to predict and manage natural disasters. This technology, with its ability to analyze vast ...
Hundreds of medical algorithms have been approved on basis of limited clinical data. Scientists are debating who should test these tools and how best to do it.
Sometimes the reasons algorithms fail are fairly logical. For example, changes to underlying data can erode their effectiveness, like when hospitals switch lab providers.
AI was intended to save patients cost in health care. However, experts say it's costlier than expected because humans need to help monitor it.
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