Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models
United Nations · Guideline · World Health Organization
Our summary
The World Health Organization provides non-binding guidance on the ethical use and governance of large multi-modal models, a type of generative artificial intelligence that can process multiple data types and generate diverse outputs. The guidance addresses applications of these models in healthcare, scientific research, public health and drug development. It outlines ethical considerations for deploying these increasingly capable systems across the health sector.
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Overview
Artificial intelligence comprises algorithms in systems and tools that learn from data to perform automated tasks without step-by-step human direction. Generative artificial intelligence uses algorithms trained on datasets to create new content in various formats like text, images or video. This guidance covers large multi-modal models, a type of generative artificial intelligence that can process multiple data input types and produce outputs in forms different from their inputs, with expected applications across healthcare, scientific research, public health and drug development.
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Controls
What this policy requires, forbids, grants or penalises, one control at a time and in our own words. Each control links to the official text, which is the authority. This is not legal advice.
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Risk and scope 0 of 4
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Data and privacy 0 of 4
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Technical safeguards 0 of 4
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Roles and organisation 0 of 6
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Change history
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