Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models (LMMs)

Rohit  Malpani; Andreas Alois Reis; Sameer Pujari; John Reeder; Effy Vayena; Alain Labrique; Jeremy Farrar; Partha Majumder; Timo Minssen; Najeeb Al-Shorbaji; Maria  Paz Canales; Arisa  Ema; Amel  Ghoulia; Jennifer Gibson; Kenneth W. Goodman; Malavika  Jayaram; Daudi Jjingo; Tze Yun Leong; Alex John London; Thilidzi Marwala; Roli  Mathur; Andrew  Morris; Daniela Paolotti; Jerome Singh; Jeroen van den Hoven; Robyn Whitney; Yi Zeng

Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models (LMMs)

Rohit Malpani^*, Andreas Alois Reis, Sameer Pujari, John Reeder, Effy Vayena, Alain Labrique, Jeremy Farrar, Partha Majumder, Timo Minssen, Najeeb Al-Shorbaji, Maria Paz Canales, Arisa Ema, Amel Ghoulia, Jennifer Gibson, Kenneth W. Goodman, Malavika Jayaram, Daudi Jjingo, Tze Yun Leong, Alex John London, Thilidzi MarwalaRoli Mathur, Andrew Morris, Daniela Paolotti, Jerome Singh, Jeroen van den Hoven, Robyn Whitney, Yi Zeng

^*Corresponding author af dette arbejde

Centeret for Avancerede Studier i Biovidenskablig Innovationsret

Publikation: Bog/antologi/afhandling/rapport › Rapport › Rådgivning › peer review

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.

Originalsprog	Engelsk

Forlag	World Health Organization
Antal sider	98
ISBN (Elektronisk)	978-92-4-008475-9
Rekvirerende organisation	World Health Organization
Status	Udgivet - 19 jan. 2024

Adgang til dokumentet

https://www.who.int/publications/i/item/9789240084759Licens: Ikke-specificeret

Citationsformater

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., ... Zeng, Y. (2024). Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models (LMMs). World Health Organization. https://www.who.int/publications/i/item/9789240084759

Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models (LMMs). / Malpani, Rohit ; Reis, Andreas Alois; Pujari, Sameer; Reeder, John; Vayena, Effy; Labrique, Alain; Farrar, Jeremy; Majumder, Partha; Minssen, Timo; Al-Shorbaji, Najeeb; Paz Canales, Maria ; Ema, Arisa ; Ghoulia, Amel ; Gibson, Jennifer; Goodman, Kenneth W.; Jayaram, Malavika ; Jjingo, Daudi; Leong, Tze Yun; London, Alex John; Marwala, Thilidzi; Mathur, Roli ; Morris, Andrew ; Paolotti, Daniela; Singh, Jerome; van den Hoven, Jeroen; Whitney, Robyn; Zeng, Yi.

World Health Organization, 2024. 98 s.

Publikation: Bog/antologi/afhandling/rapport › Rapport › Rådgivning › peer review

Malpani, R, Reis, AA, 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, KW, Jayaram, M, Jjingo, D, Leong, TY, London, AJ, 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. <https://www.who.int/publications/i/item/9789240084759>

Malpani, Rohit ; Reis, Andreas Alois ; Pujari, Sameer ; Reeder, John ; Vayena, Effy ; Labrique, Alain ; Farrar, Jeremy ; Majumder, Partha ; Minssen, Timo ; Al-Shorbaji, Najeeb ; Paz Canales, Maria ; Ema, Arisa ; Ghoulia, Amel ; Gibson, Jennifer ; Goodman, Kenneth W. ; Jayaram, Malavika ; Jjingo, Daudi ; Leong, Tze Yun ; London, Alex John ; Marwala, Thilidzi ; Mathur, Roli ; Morris, Andrew ; Paolotti, Daniela ; Singh, Jerome ; van den Hoven, Jeroen ; Whitney, Robyn ; Zeng, Yi. / Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models (LMMs). World Health Organization, 2024. 98 s.

@book{89079dd0005f48bfad9a2fc563cc1382,

title = "Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models (LMMs)",

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.",

author = "Rohit Malpani and Reis, {Andreas Alois} and Sameer Pujari and John Reeder and Effy Vayena and Alain Labrique and Jeremy Farrar and Partha Majumder and Timo Minssen and Najeeb Al-Shorbaji and {Paz Canales}, Maria and Arisa Ema and Amel Ghoulia and Jennifer Gibson and Goodman, {Kenneth W.} and Malavika Jayaram and Daudi Jjingo and Leong, {Tze Yun} and London, {Alex John} and Thilidzi Marwala and Roli Mathur and Andrew Morris and Daniela Paolotti and Jerome Singh and {van den Hoven}, Jeroen and Robyn Whitney and Yi Zeng",

year = "2024",

month = jan,

day = "19",

language = "English",

publisher = "World Health Organization",

address = "Switzerland",

}

TY - RPRT

T1 - Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models (LMMs)

AU - Malpani, Rohit

AU - Reis, Andreas Alois

AU - Pujari, Sameer

AU - Reeder, John

AU - Vayena, Effy

AU - Labrique, Alain

AU - Farrar, Jeremy

AU - Majumder, Partha

AU - Minssen, Timo

AU - Al-Shorbaji, Najeeb

AU - Paz Canales, Maria

AU - Ema, Arisa

AU - Ghoulia, Amel

AU - Gibson, Jennifer

AU - Goodman, Kenneth W.

AU - Jayaram, Malavika

AU - Jjingo, Daudi

AU - Leong, Tze Yun

AU - London, Alex John

AU - Marwala, Thilidzi

AU - Mathur, Roli

AU - Morris, Andrew

AU - Paolotti, Daniela

AU - Singh, Jerome

AU - van den Hoven, Jeroen

AU - Whitney, Robyn

AU - Zeng, Yi

PY - 2024/1/19

Y1 - 2024/1/19

N2 - 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.

AB - 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.

M3 - Report

BT - Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models (LMMs)

PB - World Health Organization

ER -