Medicine and HealthCommunications Medicine
Mitigating the impact of biased artificial intelligence in emergency decision-making
H. Adam, A. Balagopalan, et al.
In a groundbreaking study by Hammaad Adam, Aparna Balagopalan, Emily Alsentzer, Fotini Christia, and Marzyeh Ghassemi, researchers reveal how biased AI recommendations can sway emergency decision-making in mental health crises. Their findings highlight the critical dangers of using flawed algorithms in medicine and propose innovative solutions to mitigate these biases. Discover how framing AI advice can support unbiased decisions in high-stakes scenarios!
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