Expectations for Artificial Intelligence (AI) in Psychiatry

Purpose of Review Artificial intelligence (AI) is often presented as a transformative technology for clinical medicine even though the current technology maturity of AI is low. The purpose of this narrative review is to describe the complex reasons for the low technology maturity and set realistic expectations for the safe, routine use of AI in clinical medicine. Recent Findings For AI to be productive in clinical medicine, many diverse factors that contribute to the low maturity level need to be addressed. These include technical problems such as data quality, dataset shift, black-box opacity, validation and regulatory challenges, and human factors such as a lack of education in AI, workflow changes, automation bias, and deskilling. There will also be new and unanticipated safety risks with the introduction of AI. The solutions to these issues are complex and will take time to discover, develop, validate, and implement. However, addressing the many problems in a methodical manner will expedite the safe and beneficial use of AI to augment medical decision making in psychiatry.

Automated summary

This narrative review aims to describe the complex reasons for the low technology maturity of artificial intelligence in clinical medicine and set realistic expectations for its safe and routine use. It is necessary to address technical issues such as data quality and black-box opacity, as well as human factors like a lack of AI education. Discovering, developing, validating, and implementing solutions will take time.