WHO’s Guidance of Ethics and Governance AI Usage

By Sumona Bose

January 30, 2024

Introduction

The World Health Organization (WHO) has released new guidance on the ethics and governance of large multi-modal models (LMMs), which are generative AI technologies that have the potential to improve healthcare outcomes. The guidance includes over 40 recommendations for governments, technology companies, and healthcare providers to ensure the appropriate use of LMMs. LMMs are unique in their ability to accept various types of data inputs, such as text, videos, and images, and generate diverse outputs. They mimic human communication and can perform tasks that they were not explicitly programmed to do. These technologies have been adopted at an unprecedented rate, with platforms like ChatGPT, Bard, and Bert gaining popularity in 2023. This article will discuss WHO’s Guidance of Ethics and Governance AI Usage.

Guiding AI’s Role in Healthcare

The potential benefits of LMMs in healthcare are vast. They can be used for diagnosis and clinical care, patient-guided use, clerical and administrative tasks, medical and nursing education, and scientific research and drug development. However, there are also risks associated with the use of LMMs. They can produce false, inaccurate, biased, or incomplete statements. These could harm individuals relying on this information for their health decisions. LMMs may also be trained on poor quality or biased data, leading to potential disparities in healthcare outcomes.

WHO - Ethics And Governance of Artificial Intelligence - DigitalRosh
Figure 1: WHO Guidance on Ethics and Governance on AI for Health

The guidance also highlights broader risks to health systems, such as the accessibility and affordability of the best-performing LMMs. There is a concern that healthcare professionals and patients may develop “automation bias,” relying too heavily on LMMs and overlooking errors or improperly delegating difficult choices to these technologies. Additionally, LMMs are vulnerable to cybersecurity risks, which could compromise patient information and the trustworthiness of these algorithms.

Ensuring a multi-stakeholder framework of AI

To ensure the safe and effective use of LMMs, the WHO emphasizes the need for engagement from various stakeholders, including governments, technology companies, healthcare providers, patients, and civil society. Governments have a primary responsibility to set standards for the development and deployment of LMMs, including their oversight and regulation. The guidance recommends that governments invest in public infrastructure and provide access to computing power and public data sets while adhering to ethical principles and values. WHO’s Guidance of Ethics and Governance AI Usage can be considered as an important framework of universal applicability.

Conclusion

Developers of LMMs should involve potential users and stakeholders, including medical providers, researchers, healthcare professionals, and patients, in the design process. LMMs should be designed to perform well-defined tasks with accuracy and reliability, improving the capacity of health systems.

Reference url

Recent Posts

South African National Health Insurance Bill
          

High Court on South African National Health Insurance Bill

📢Latest update on the NHI! 📢 Dive into our latest piece on the judicial review of the South African National Health Insurance Bill. Learn about the intriguing case and its implications on the healthcare industry. 🏛️💼💡 #HealthcarePolicy #LegalReview #NationalHealthInsuranceBill

Global Perspective on Orphan Medicines
                

A Global Perspective on Orphan Medicines and Rare Diseases

Discover the global perspective on orphan medicines and their role in treating rare diseases. Learn about the unique challenges and incentives in their development. 🌍💊 #OrphanMedicines #RareDiseases #HealthcareInnovation #RareDiseaseDay. Read more here

            

The Impact of Universal Health Coverage on Poverty Reduction in Low and Middle-Income Countries

📚 New research findings alert! 🚨 A recent study shows that increasing coverage of maternal, child and inpatient services is associated with reduced poverty in low and middle-income countries. 💡 This supports pro-poor approaches towards Universal Health Coverage. 🌍 Let’s work together to ensure #HealthForAll and #EndPoverty. Read more here 📖 #UHC #GlobalHealth #HealthEquity

When you partner with Syenza, it’s like a Nuclear Fusion.

Our expertise are combined with yours, and we contribute clinical expertise and advanced degrees in health policy, health economics, systems analysis, public finance, business, and project management. You’ll also feel our high-impact global and local perspectives with cultural intelligence.

SPEAK WITH US

CORRESPONDENCE ADDRESS

1950 W. Corporate Way, Suite 95478
Anaheim, CA 92801, USA

JOIN NEWSLETTER




SERVICES

© 2024 Syenza™. All rights reserved.