Year: 2019
Type: article
Abstract: As Al moves rapidly into the health care field, it promises to revolutionize and transform our approach to medical treatment. The black-box nature of AI, however, produces a shiver of discomfort for many people. How can we trust our health, let alone our very lives, to decisions whose pathways are unknown and impenetrable?\nAs challenging as these questions may be, they are not insurmountable. And, in fact, the health care field provides the perfect ground for finding our way through these challenges. How can that be? Why would we suggest that a circumstance in which we are putting our lives on the line is the perfect place to learn to trust Al? The answer is quite simple. Health care always has been a place where individuals must put their faith in that which they do not fully understand.\nConsider the black box nature of medicine itself. Although there is much we understand about the way in which a drug or a medical treatment works, there is much that we do not. In modern society, however, most people have little difficulty trusting their life to incomprehensible treatments.\nThis article suggests that the pathways we use to place our trust in medicine provide useful models for learning to trust AI. As we stand on the brink of the Al revolution, our challenge is to create the structures and expertise that give all of society confidence in decision-making and information integrity.
Source: bepress Legal Repository
Authors: Robin Feldman, Ehrik Aldana, Kara Stein
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W3002617524