This course explores the intersection of Artificial Intelligence, ethics, and psychology, offering an in-depth look at how intelligent systems influence human thoughts, emotions, and behaviors. It examines the ethical dilemmas that arise from these interactions, including the balance between innovation and moral responsibility. Key topics include algorithmic bias, autonomy, emotional AI, trust in machines, and the psychological effects of human-machine relationships. By blending theory with practical analysis, learners will gain insight into both the potential and the risks of AI in modern society.

Students will engage with real-world examples and participate in thought-provoking debates to understand how AI shapes both individual choices and societal values. They will explore case studies ranging from mental health chatbots to autonomous vehicles, assessing the ethical and psychological trade-offs in each scenario. Drawing from psychology, philosophy, and computer science, the course invites learners to reflect critically on the responsibilities of those who design AI, while also considering the broader cultural and human implications of its widespread adoption.

Through this interdisciplinary lens, learners will develop a nuanced understanding of how ethical and psychological principles can guide the development of AI that respects human dignity, supports mental well-being, and promotes fairness in a rapidly evolving technological world. The course also addresses future challenges such as deepfakes, persuasive algorithms, and the debate over machine consciousness. By its conclusion, participants will be equipped with the analytical tools needed to navigate and help shape the moral and emotional landscape of the AI-driven future.