This course explores the ethical foundations of AI and examines how emerging technologies intersect with psychological practice, mental health care, and human well-being. Participants will investigate real-world applications of AI in mental health, evaluate ethical dilemmas, and learn best practices for the responsible development and use of AI systems. Through case studies, discussions, and practical examples, learners will gain the knowledge needed to balance technological innovation with ethical responsibility while protecting the dignity, rights, and welfare of individuals.

Learning Outcomes

By the end of this course, participants will be able to:

• Explain the fundamental principles of ethics in Artificial Intelligence and their relevance to psychology and mental health.
• Identify common AI applications used in psychological assessment, counseling, therapy, and mental health support.
• Evaluate ethical challenges related to AI, including bias, fairness, transparency, accountability, privacy, and informed consent.
• Assess the potential benefits, limitations, and risks of AI-assisted mental health technologies.
• Analyze real-world case studies involving ethical decision-making in AI-powered mental health systems.