Integrating AI in mental health services: challenges and innovations for information professionals

Abstract

The integration of Artificial Intelligence (AI) into mental health services is revolutionizing care delivery, offering innovations in diagnostics, personalized treatments, and continuous patient support. AI-driven tools, such as virtual therapists and predictive algorithms, enable early intervention and enhance the accessibility of mental health care. However, the deployment of AI in this field presents challenges, including ethical concerns related to privacy, bias, and the potential depersonalization of care. Information professionals play a critical role in managing AI systems by ensuring ethical data handling, facilitating knowledge management, and collaborating with mental health practitioners. This article explored the challenges and innovations in AI integration for mental health services, highlighting the pivotal role of information professionals in shaping a responsible, effective future for AI-driven mental health care. Emerging trends in AI, such as natural language processing and wearable devices, underscore the need for continuous education and interdisciplinary collaboration to address the evolving demands of this technology.