WHO Cautions on Use of AI for Health 

The World Health Organisation has called for caution in using AI – artificial intelligence-generated large language model tools to protect and promote human well-being, human safety, autonomy, and preserve public health.

LLMs include some of the most rapidly expanding platforms such as ChatGPT, Bard, Bert and many others that imitate understanding, processing, and producing human communication.

WHO noted that concerns that call for rigorous oversight needed for the technologies to be used in safe, effective, and ethical ways include the data used to train AI may be biased, generating misleading or inaccurate information that could pose risks to health, equity and inclusiveness; and LLMs generate responses that can appear authoritative and plausible to an end user; however, these responses may be completely incorrect or contain serious errors, especially for health-related responses.

Other concerns according to the WHO are that LLMs may be trained on data for which consent may not have been previously provided for such use, and LLMs may not protect sensitive data (including health data) that a user provides to an application to generate a response; and LLMs can be misused to generate and disseminate highly convincing disinformation in the form of text, audio or video content that is difficult for the public to differentiate from reliable health content.

Read Also: Healthier and safer for humanity to sign an agreement with the Columbian drug cartel than with WHO – MEP

WHO recommends that policymakers ensure patient safety and protection while technology firms work to commercialise LLMs.

WHO proposes that these concerns be addressed, and clear evidence of benefit be measured before their widespread use in routine health care and medicine – whether by individuals, care providers, or health system administrators and policy-makers.

WHO reiterates the importance of applying ethical principles and appropriate governance, as enumerated in the WHO guidance on the ethics and governance of AI for health, when designing, developing, and deploying AI for health.

“The six core principles identified by WHO are to protect autonomy; promote human well-being, human safety, and the public interest; ensure transparency, explainability, and intelligibility; foster responsibility and accountability; ensure inclusiveness and equity; and promote AI that is responsive and sustainable,” WHO added.


Discover more from LN247

Subscribe to get the latest posts sent to your email.

Advertisement

Most Popular This Week

LEAVE A REPLY

Please enter your comment!
Please enter your name here

This site uses Akismet to reduce spam. Learn how your comment data is processed.

More from Author

Advertisement

Read Now

FG Strengthens Efforts To Tackle Food Export Challenges

The Federal Government has taken steps to address challenges in food export regulations through a partnership between the Ministry of Industry, Trade and Investment and the Ministry of Health and Social Welfare. The collaboration also aims to unlock the healthcare value chain for transformative growth. The Minister of...

Human Metapneumovirus (HMPV): What You Need to Know

Human Metapneumovirus (HMPV) is a relatively unknown but increasingly significant respiratory virus that has caught the attention of global health experts. Since its discovery in 2001, it has become one of the leading causes of respiratory illnesses, especially in young children, the elderly, and individuals with compromised...

War on Drugs: Nigerian Authorities Arrest Over 14,480 in 2024

In 2024, Nigeria ramped up its war on drugs, demonstrating an unwavering commitment to curbing drug trafficking and abuse. The National Drug Law Enforcement Agency (NDLEA), under the leadership of Brig. Gen. Mohamed Buba Marwa (Rtd), achieved significant milestones. Between January and October 2024, the NDLEA arrested...

Discover more from LN247

Subscribe now to keep reading and get access to the full archive.

Continue reading