Ethical Deployment of AI

Artificial intelligence does not operate in isolation—humans create, refine, and guide its development. This course examines the ethical dimensions of AI, recognizing that technology alone cannot resolve complex moral questions. We will explore bias in algorithms, the evolving definition of fairness, and the role of transparency in digital decision-making.

Key discussions will include the responsibilities of those designing AI systems, the impact of algorithms as modern-day “editors,” and the ethical considerations surrounding personal data ownership. We will analyze historical parallels to today’s debates, demonstrating that many AI dilemmas echo longstanding philosophical and societal questions.

Additionally, we will examine global perspectives on privacy, the potential of technology as both a tool for empowerment and repression, and the challenges of information bias. What ethical obligations exist to mitigate harmful content? What standards should govern those shaping AI’s influence?

Through case studies and discussions, this course fosters critical thinking about the ethical principles that should guide AI development. The goal is not to find definitive answers but to equip participants with the skills to engage in thoughtful, productive conversations—because ethical progress depends on our ability to communicate, not just compute.