The Ethical Threat of Artificial Intelligence in Practice

How do clinicians set rules that allow professionals "to make good use of technology to find patterns in complex data" but also "stop companies from extracting unethical value from those data?" Geis, from the American College of Radiology (ACR) Data Science Institute, is one of the authors of a joint statement that addresses the potential for the unethical use of data, the bias inherent in datasets, and the limits of algorithmic learning, and was the moderator of a session on the topic at the Radiological Society of North America (RSNA) 2019 Annual Meeting in Chicago. There's a very big grey area between an absolute ethical approach to data use and decisions that are profit-driven, he told Medscape Medical News. "Sitting on the sainthood side, I can stick to doing only what I see as good for my patients, maybe even taking vows of poverty," he said. "On the extreme other side, I'm doing things that put me in prison."