Health care services are clearly benefiting from the use of artificial intelligence, or AI, technology. But at the same time, some notable drawbacks are emerging that point to AI systems’ current shortcomings. These systems are helping to overcome some bureaucratic drawbacks on the business side of operations and giving patients more time with health care providers. On the downside, research has found that AI can have biases when analyzing conditions to diagnosis patients’ conditions. Bradley Greger, an associate professor in the the School of Biological and Health Systems Engineering, part of the Fulton Schools, talks about the complicated technical factors that can lead to “super-biased AI.” Researchers are working on ways to overcome the inbred bias factor.

See also: AI reshapes health care but adopts bias, Arizona Daily Star (Tucson)