An Exploration of the Implications and Possible Applications of Generative AI in Mental Healthcare

The past few years have seen significant growth in the capabilities of Generative Artificial Intelligence (GAI), and it has shown incredible potential to impact the field of mental healthcare. GAI encompasses a variety of AI architectures, all of which can process information and create output at tremendous speeds, showing promise in making mental healthcare more efficient and revolutionizing psychological research and patient care. In this work, we analyze the recent advancements made within the GAI space, consider the possible applications that GAI could have in the research and clinical environments of mental healthcare, and acknowledge the potential limitations of GAI when considering pathways to integration. Ultimately, we recognize the many benefits that GAI could create in the field of mental healthcare in improving patient outcomes, reducing workload for medical professionals and researchers, and reducing financial and resource consumption while also asserting that the implementation of GAI must be done with care to prevent harm and detriment to patients.