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The S.A.R.A.H. project showed the potential of AI to be a helpful, compassionate, multilingual guide on public health topics. It remains a good case study for developing similar projects in the future.
What she did: health promotion, powered by AI Accessible, health conversations S.A.R.A.H.’s generative AI enabled nuanced interaction, responding to questions on nutrition, stress reduction, quitting tobacco, and more. Breaking language and access barriers Operating in eight languages and available around the clock, S.A.R.A.H. helped expand access to trusted health information, especially in underserved or remote communities. Strengthening public‑health research As a not-for-profit prototype, S.A.R.A.H. helped researchers and global health bodies understand how AI might reliably support health communication. Why it mattered: context and promise Innovation in reach The first test of generative AI by WHO to deliver public health advice in a scalable way. Evidence-based design Built from validated WHO materials and leveraged to explore what works, and what doesn’t, in AI-enabled health communications. behavior change. Ethical foresight WHO acknowledged concerns around equity, data bias, safety, accuracy, and privacy, and built the project accordingly. WHO’s Director‑General, Dr Tedros Adhanom Ghebreyesus: “S.A.R.A.H. gives us a glimpse of how artificial intelligence could be used in future to improve access to health information in a more interactive way.” Backed by global partners The S.A.R.A.H.
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