[Contributors to syllabus development: Qian Cao, Jens Haas, Anthony Dyson Hejduk, Wooseok Kim, Tahlia Pajaczkowska-Russell, Katja Maria Vogt]
v2024.09.09
PHIL GR9180 Approaches to Applied Ethics: Philosophy of AI
COMS W2702 AI in Context
Team-taught, interdisciplinary class, Fall 2024
From the course description:
This team-taught, interdisciplinary class covers the history of AI, the development from Neural Networks (NNs) to Large Language Models (LLMs), philosophy of AI, as well as the role of AI in music and writing. Four sessions are devoted to foundational philosophical questions that bear on AI. Session 1: Can we ascribe beliefs and intentions to AI? Can LLMs speak? Can they lie? Session 2: Can AI be aligned with human values? What is explainable AI (XAI)? Session 3: What makes an AI โfairโ? How does fairness relate to accuracy and other values? Session 4: How should LLMs deal with generics? What about social generics and bias?
Philosophy of AI Reading Group
Organizer: Syan Timothy Lopez
Faculty sponsor: Katja Vogt
From the description:
The Philosophy and AI reading group meets weekly to discuss contemporary papers in artificial intelligence and at the intersection of philosophy and AI. In the Fall 2024, we will be focusing especially on issues of AI and fairness. The reading group is open to current and former graduate students, visiting scholars, lecturers, and faculty. We especially welcome people from other disciplines outside of philosophy, such as computer science, engineering, cognitive science, law, business, etc. If you are interested, please contact Syan Timothy Lopez (sfl2126@columbia.edu).