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Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models (LMMs)
- Source :
- Malpani , R , Reis , A A , Pujari , S , Reeder , J , Vayena , E , Labrique , A , Farrar , J , Majumder , P , Minssen , T , Al-Shorbaji , N , Paz Canales , M , Ema , A , Ghoulia , A , Gibson , J , Goodman , K W , Jayaram , M , Jjingo , D , Leong , T Y , London , A J , Marwala , T , Mathur , R , Morris , A , Paolotti , D , Singh , J , van den Hoven , J , Whitney , R & Zeng , Y 2024 , Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models (LMMs) . World Health Organization . <
- Publication Year :
- 2024
-
Abstract
- Contributed to this WHO guidance as member of the "WHO Expert Group on Ethics and Governance of AI for Health". WHO is issuing this guidance to assist Member States in mapping the benefits and challenges associated with use of LMMs for health and in developing policies and practices for appropriate development, provision and use. The guidance includes recommendations for governance, within companies, by governments and through international collaboration, aligned with the guiding principles. The principles and recommendations, which account for the unique ways in which humans can use generative AI for health, are the basis of this guidance.
Details
- Database :
- OAIster
- Journal :
- Malpani , R , Reis , A A , Pujari , S , Reeder , J , Vayena , E , Labrique , A , Farrar , J , Majumder , P , Minssen , T , Al-Shorbaji , N , Paz Canales , M , Ema , A , Ghoulia , A , Gibson , J , Goodman , K W , Jayaram , M , Jjingo , D , Leong , T Y , London , A J , Marwala , T , Mathur , R , Morris , A , Paolotti , D , Singh , J , van den Hoven , J , Whitney , R & Zeng , Y 2024 , Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models (LMMs) . World Health Organization . <
- Notes :
- English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1439552788
- Document Type :
- Electronic Resource