Responsible AI: Ethics, Bias & Governance

As AI use grows, it's critical to manage its ethical and legal aspects. This course examines AI fairness, bias in algorithms, privacy, and the current regulatory landscape (including Georgia policies). Through case studies (e.g. biased hiring tools, facial recognition concerns, data privacy issues), students learn how to audit AI systems for bias and ensure transparency. We cover best practices and frameworks for responsible AI development. Essential for any professional working with AI, this course helps ensure AI projects benefit society without harm.