I found this article on AI and Large Multimodal Models (LMMs) in Artificial Intelligence, useful WHO unveils AI ethics and governance guidance for LMMS (menews247.com)
https://menews247.com/who-unveils-ai-ethics-and-governance-guidance-for-...
The article is published in the online publication of the West African Institute of Public Health.
Here is a typical section: "In a move aimed at addressing the ethical challenges and governance posed by large multi-modal models (LMMs) in artificial intelligence (AI), the World Health Organization (WHO) has unveiled guidance that outlines crucial recommendations for governments, technology companies, and healthcare providers.
LMMs are a fast-growing generative AI technology with growing applications and use in healthcare.
"The new WHO guidance outlines more than 40 recommendations for consideration by governments, technology companies, and healthcare providers to ensure the appropriate use of LMMs to promote and protect the health of populations.
"LMMs can accept one or more types of data inputs, such as text, videos, and images, and generate diverse outputs that are not limited to the type of data inputted.
"LMMs are unique in their mimicry of human communication and ability to carry out tasks they were not explicitly programmed to perform. LMMs have been adopted faster than any consumer application in history, with platforms such as ChatGPT and Bard and Bert entering the public consciousness in 2023.
"According to Dr Jeremy Farrar, WHO Chief Scientist: “Generative AI technologies have the potential to improve healthcare but only if those who develop, regulate, and use these technologies identify and fully account for the associated risks,”
“We need transparent information and policies to manage the design, development, and use of LMMs to achieve better health outcomes and overcome persisting health inequities.”
"The WHO guidance outlines five broad applications of LMMs for healthcare:
- Diagnosis and clinical care, such as responding to patients’ written queries;
- Patient-guided use, such as for investigating symptoms and treatment;
- Clerical and administrative tasks, such as documenting and summarising patient visits within electronic health records;
- Medical and nursing education, including providing trainees with simulated patient encounters;
- Scientific research and drug development, including to identify new compounds."
HIFA profile: Richard Fitton is a retired family doctor - GP. Professional interests: Health literacy, patient partnership of trust and implementation of healthcare with professionals, family and public involvement in the prevention of modern lifestyle diseases, patients using access to professional records to overcome confidentiality barriers to care, patients as part of the policing of the use of their patient data. Email address: richardpeterfitton7 AT gmail.com
