AAI211 AI Ethics and Responsible Data Use

[1–0, 1 cr.]

This course explores the ethical, legal, and societal implications of artificial intelligence and data-driven technologies. Students will examine key topics such as privacy, fairness, bias, accountability, and the ethical deployment of AI systems. The course covers responsible practices for collecting, storing, and using data, strategies to identify and mitigate bias in datasets and AI models, and approaches to ensure transparency and accountability in automated decision-making. Through case studies, discussions, and practical exercises, the course equips students with the skills to critically evaluate AI projects and develop responsible, ethical solutions in real-world contexts.