A Compass to Navigate the Societal AI Transition and Advance AI for Global Health: Opportunities, Challenges and Risks

Artificial intelligence (AI) is profoundly transforming various sectors, including global health, generating both high expectations and significant uncertainty. Health applications of AI range from the molecular to the societal level, enabling clinical applications as well. With promising results about the “humanity” touch of the interactions, but also resistance from healthcare workers.

The short-term risks arising from the implementation of AI health systems include bias, as they can inherit or exacerbate biases present in their training data, lack of transparency, the generation of convincing but fictional information, privacy violations of personal data and misuse for malicious purposes.

While the AI’s potential to transform health and healthcare is huge, the path forward is full of challenges that must be anticipated and navigated carefully. It must be ensured that AI benefits all of humanity. Health research institutions have the chance to take a leadership role in this transition, but this would require a bold commitment at multiple levels.

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