
World Health Organization’s (WHO) Contribution in Artificial Intelligence
A look at some of the examples of WHO’s role in Artificial Intelligence (AI)
In the current era, medicine, research, and public health are all being transformed by digital technology, machine learning, and artificial intelligence. While this fast emerging field holds immense promise, it also raises many ethical, legal, and social challenges, such as privacy, proper applications and users, bias, and much more. These are global challenges because data generated or used by these technologies is captured, shared, and used beyond national borders. Health services and systems are benefiting from the tools, methodologies, and technology employed in Big Data and AI.
The World Health Organization’s (WHO) role in Artificial Intelligence (AI)
A commitment has been undertaken by the World Health Organization (WHO) to address ethics, governance and the regulation of artificial intelligence for health purposes. In late 2019, the World Health Organization launched an expert panel to assist in the development of a worldwide framework for artificial intelligence ethics and governance. The goal of this program is to guarantee that these technologies are consistent with the broad goals of promoting fair and equitable global health, adhering to human rights standards, and assisting Member States in achieving universal health coverage.
Artificial intelligence (AI) and Big Data tools, methodologies, and technologies are already being used to improve health services and systems, and policies, practices, and capacities to support them. Given that health information technology will impact more human lives than any other technology in history, this is a huge concern.
Here are some of the examples of WHO’s role in Artificial Intelligence (AI)
The WHO Health Alert service on Facebook Messenger has been enhanced with artificial intelligence (AI) features that improve the user experience, deliver more truthful data, and allow WHO to react more swiftly. During the global pandemic, the service was part of WHO’s ongoing efforts to make sure that people have access to accurate and trustworthy information sources about COVID-19.
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The World Health Organization (WHO) is using Amazon Web Services (AWS) data analytics and cloud technologies to speed up worldwide efforts to detect, contain, and analyze COVID-19. WHO recently released an app in collaboration with AWS to assist health workers caring for COVID-19 patients, as well as to protect themselves while on the job. Workers can use the app to access the World Health Organization’s instructional materials and guidelines, as well as virtual workshops and live training.
The World Health Organization has also developed the Epidemic Intelligence from Open Sources Initiative (EIOS), which helps to create an uniform worldwide early warning system that uses open-source data to identify, evaluate, and analyze possible public health concerns. The EIOS system organizes, classifies, and contextualizes data on particular public health issues so that it may be shared with the global EIOS community of specialists.