Mental healthcare professionals face a critical challenge in distinguishing between high-quality AI tools and potentially harmful ones as they seek to leverage technology without compromising care quality. The market is flooded with AI applications that appear tailored for mental health needs, but many are low-quality, unsafe, unproven, or biased.

Using unreliable AI tools in the field, clinic, or call center can seriously harm individuals and communities, as the stakes are extremely high when working with people in need. This situation raises the question of how to define and evaluate quality in AI applications for health and human services without resorting to trial and error.

As providers grapple with resource constraints and growing demand, developing a framework to assess these tools' safety, efficacy, and potential impact on vulnerable populations becomes crucial.

Fill out this form to download our free framework for assessing AI quality: