This course provides an in-depth exploration of the ethical principles, frameworks, and best practices guiding the design, development, deployment, and governance of artificial intelligence (AI) systems. Students will examine both historical perspectives and current debates on fairness, transparency, accountability, privacy, and the societal impact of AI.
The course combines theory, real-world case analysis, and hands-on projects using AI tools such as generative AI platforms, no-code development environments, and data analytics software. Students will design governance frameworks, evaluate compliance, and propose ethical policies tailored to specific sectors. By the end of the course, participants will be equipped to anticipate risks, make informed ethical decisions, and contribute to the responsible advancement of AI technologies.