How to evolve artificial intelligence models alongside societal needs - MedCity News

We live in a time when generation-shaping events and emerging technology have converged at a rapid pace – influencing the way our society communicates and interacts with one another. Nowhere is this more evident than with the rise of digital therapeutics in the field of mental health, as new care models and apps are developed for the treatment of physical and behavioral health conditions such as pain, sleep, anxiety and depression. While it is often presumed that the act of bonding is exclusive to human therapeutic relationships, recent studies have shown that digital therapeutic tools are in fact capable of establishing a comparable therapeutic bond with users. But in the same way that relationships must be nurtured between people, so must the connection between virtual mental health services and their users. As society becomes more open to and reliant on these tools, it is the responsibility of technology companies, especially those tasked with assisting people's mental health, to build and maintain artificial intelligence (AI) and machine learning (ML) models that adapt alongside societal needs.