ETHICAL CONSIDERATIONS IN THE ERA OF ARTIFICIAL INTELLIGENCE: IMPLICATIONS FOR MENTAL HEALTH, WELL-BEING, AND DIGITAL HEALTH

Abstract

This study investigates the ethical implications of artificial intelligence (AI) on mental health and well-being, focusing on the critical challenges posed by patient privacy, data security, and the therapeutic relationships within digital health contexts. Utilizing a mixed-methods approach, the research incorporates qualitative data obtained through interviews with mental health professionals and users of AI-driven health services, alongside quantitative analysis of treatment outcomes associated with AI interventions. Key findings reveal that while AI technologies hold the potential to enhance therapeutic efficacy and accessibility, significant ethical concerns persist, particularly regarding the erosion of patient confidentiality and the potential for biased algorithmic decision-making. These findings underscore the pressing need for robust ethical frameworks that address the nuances of AI integration in mental health care. The implications of this research extend beyond individual practices, suggesting a necessary paradigm shift in healthcare policy and ethics that promotes the responsible use of AI technologies. By advocating for heightened awareness and stronger regulatory measures, this study contributes to the ongoing discourse about the intersection of technology and mental health, ultimately aiming to safeguard patient rights and ensure the integrity of therapeutic relationships in an increasingly digital health landscape.