This course provides an in-depth exploration of the ethical and societal dimensions of Artificial Intelligence (AI), aiming to equip students with the skills to make responsible decisions when assessing, building, or deploying technology. Through interactive lectures, discussions, scenario simulations, and student presentations, supported by readings from various fields, we will delve into the historical origins of AI and its contemporary impacts. Topics will include bias and fairness in machine learning, AI alignment, democratic processes, job markets, social interaction, international competition, communication, AI and climate, social media, privacy, copyright, and emerging regulatory boundaries. Utilizing the Code Capital framework (Conception, Operations, Data, and Environment), students will learn to analyze AI systems and their normative forces from design to deployment.
