Responsible AI: Cultivating a Just and Sustainable Socio-technical Future through Data…

Catalog description

An introduction to the key issues that inform ethically responsible design, deployment, and use of artificial intelligence (AI) technologies, with particular focus on the impact of data practices. From generative language models to video surveillance and identity detection to facial recognition, AI is becoming more and more embedded in our everyday lives. These AI technologies are increasingly built on our data, whether we are aware of it or not. In this praxis-oriented course, we will explore how data is fundamental to the development of AI technologies and develop practices for increased awareness of and participation in this data ecosystem. As we interrogate AI systems in everyday life through hands-on engagement with AI tools and their data pipelines, we will begin to construct a data citizenship model that can help us reclaim the power of collective responsibility in order to build a more just and sustainable socio-technical future. Students will focus their individual and group projects on questions and issues directly related to the subject area of the offering they are enrolled in. Offered as COGS 250 , ENGL 250 , HUMN 250 , MUGN 250 , PHIL 250 and RLGN 250 . Counts as a Moral & Ethical Reasoning course.