Henry W. Pickford , Professor, German Studies The idea of AI raises epistemological questions about the nature of mind. What does it mean to claim that a machine thinks and understands? In better understanding some epistemological puzzles about AI, we will better understand puzzles about our knowledge of others, and ultimately knowledge of ourselves. Topics may include symbolic and connectionist AI, the computational theory of mind, intentionality, mental content, embodied cognition, Cross-lists: GERMAN 171CNS/ SCISOC 171CNS COMPSCI 174CN: Digital Artifacts with Generative AI: Creating, Understanding, and Analyzing (QC) Owen Astrachan , Professor of the Practice, Computer Science How does generative AI help and hinder the process of creating, designing, and delivering different artifacts ranging from written to visual and culminating in the design, development, and delivery of web or mobile applications using generative AI? Team-based and peer-evaluated processes for creating digital artifacts for all students. The process and the resulting artifacts will be understood, analyzed, and evaluated through legal, ethica ENGLISH 180CN: AI, Creativity, and Slop (TBD) Richard Jean So , Associate Professor, English This class explores the question of "can generative AI be creative" from historical, theoretical and scientific perspectives. We review the long history of attempts to use machines to automate aesthetic and cultural creativity, from the Renaissance through the modernist period; we read important theoretical and philosophical writings regarding machine creativity, from Kittler to Boden, to contextualize more recent debates over the capacity COMPSCI 173CNL: Cinema Perspectives on Artificial Intelligence (HI) Kate Nemecek , Lecturer, Computer Science In this course, we will use cinema as a lens on society's view of artificial intelligence. We will discuss how this view has changed over time, and how it compares to the real-world status of AI. It will also include a unit on the usage of AI in creating cinema, and its accelerating impact on moviemaking. Throughout the course, we will be learning some of the real-life history of AIs and how a selection of modern systems works. Students sh Cross-list: CINE 173CNL PHYSICS 123CN: Science of and with Neural Networks (QC) Berndt Mueller , Professor, Physics An introductory course surveying the building blocks of artificial networks, their basic structure and learning algorithms, from the perceptron to modern deep learning networks and exploring the applications of neural networks in a variety of scientific disciplines, their impact in how we acquire and apply scientific insights, and ethical/philosophical questions that are raised by their use. The course will be primarily structured in modul PHIL 1XXCN: Paradoxes of Rational Choice (HI) Benjamin Eva , Associate Professor, Philosophy This course provides an introductory exploration of the philosophical foundations of rational choice theory and confronts a broad range of decision theoretic puzzles and paradoxes. Students will have the opportunity to evaluate several of the most prominent philosophical theories of rational decision making and their relationships to topics in AI, epistemology, causal inference and statistics. We'll ask questions like What rules should we follow if we want to make decisions in a rational way? What is the role of causal reasoning in rational decision making? What role should risk avoidance play in a rational agent's decision making? How good are current AI systems at making rational decisions, and what kinds of dangers are engendered when we delegate decision making to them? WRITING 120CN: Music Saved my Life: Dance Music and Cultures of Technology Mike Dimpfl , Lecturing Fellow, Thompson Writing Program
- Subject
- PHIL
- Type
- course
- Edition
- 2420
- Source
- trinity.duke.edu