A Compass to Navigate the Societal AI Transition and Advance AI for Global Health: Opportunities, Challenges and Risks
Artificial intelligence (AI) is deeply transforming several sectors, including global health, generating both High expectations and significant uncertainty. The AI health applications range from the molecular to the social level, which allows clinical applications as well. With promising results about the «humanity» touch of interactions, but also Health workers resistance.
Short -term risks derived from the implementation of AI health systems include inclinationas they can inherit or exacerbate the biases present in their training data, Lack of transparencyhe Generation of convincing but fictitious information, Personal data privacy violations and misuse for malicious purposes.
While the AI potential To transform health and medical care, the way forward is full of Challenges That must anticipate and sail carefully. You must ensure that the AI benefits all humanity. Health research institutions have the opportunity to assume a leadership role in this transition, but this would require a bold commitment at multiple levels.
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