Use of artificial intelligence in health care, “reliability is paramount”

KAIST develops the world’s first guide to using artificial intelligence in the health and medical field
Contributes to enhancing the public’s understanding of AI technology and promoting the use of technology
30 experts from Korea, Singapore, and the UK participated in international joint research
[Bio Times] The COVID-19 pandemic has spurred the rapid commercialization of artificial intelligence technologies in the health care industry. BenevolentAI, a British AI startup, has cut the time it normally takes eight years to identify a new disease treatment drug to just one week using artificial intelligence technology.

As such, AI is being used not only to find the molecules necessary for drug development, but also to more accurately diagnose a patient's disease state and predict how a patient will respond to treatment, as well as to improve medical resource planning, such as identifying bedside status.

However, there are also concerns that the rapid introduction of technology has brought blind spots such as data bias and misuse or abuse. Among them, in the health and medical field, the validity and safety of artificial intelligence technology should be prioritized above all else because the quality and verification of data supporting artificial intelligence are directly related to life.

As AI technology is rapidly developing and AI medical services are expanding more and more, it is becoming very important to check how reliable this is and whether the data quality or data analysis results that are the basis of the service are correct. This means doctors and patients need to understand how reliable AI-powered information can be when making life-threatening diagnoses.

Accordingly, KAIST produced a guide based on the awareness that more and more people should ask questions about the responsibility of artificial intelligence technology.

◇KAIST develops the world's first AI guide for healthcare