This course will introduce students to the philosophical foundations of cognitive science. Topics will include the nature and distribution of consciousness, including cognitive, neurobiological, and informational theories; theories of cognition, including computational-representational and non-representational “EEE” (embodied/emergent/enactive) theories; theories of emotion, affect, valence, and motivation; theories of action and agency, and evolutionary theory. All of these discussions will be cutting-edge research in human and nonhuman animal cognition. The class will also include a discussion of competing conceptual, inferential, and conceptual strategies across the disciplines that comprise cognitive science.

This course will familiarize students with foundational concepts and emerging ideas in the ethics of artificial intelligence and their implications for public policy. It will be broken down into three sections: (1) the ethics of machine learning; (2) the moral status of AI; and (3) AI and the distant future. The first section will consider such topics as the ethical implications of unconscious bias in machine learning (e.g., in predictive text, facial recognition, speech dialogue systems); what constraints should govern the behavior of autonomous and semi-autonomous machines such as drones and smart cars; whether AI can undermine valuable social institutions and perhaps to democracy itself and what might be done to mitigate such risk; and how automation might transform the labor economy and whether this morally desirable. The second section turns to the question of our moral obligations toward (some) artificial intelligences. Here, we will ask what grounds moral status in general and how this might apply to artificial intelligences in particular, including how should we should balance moral obligations toward (some) AIs with competing obligations toward human beings and other creatures with morally protectable interests. The final section will look to the far distant future and consider how (if at all) we might identify and estimate future threats from AI and what might be done today to protect all those who matter morally.

The purpose of this course is to improve everyday reasoning skills. Critical thinking means evaluating the reasons for our actions and beliefs. Ideally, we think our actions are rational, not arbitrary. But one does not have to look far to discover disagreement and apparent irrationality. What accounts for this? This course investigates how to argue effectively, how to evaluate evidence and reasons, and how to marshal good evidence and reasons in order to arrive at reliable knowledge and justified action. It covers common mistakes that people make in causal, statistical, moral, and everyday reasoning, and it teaches how and when it pays to be skeptical, reflective, and critical.

Philosophy of mind is the philosophical discipline that explores what a mind is and how it fits in the natural world. In doing this, philosophy of mind raises further questions such as: What do we mean by mind? How do we attribute mentality? How are mental and physical properties related? What is consciousness? Can computers think? How is rationality connected to mental states like beliefs and desires? In this course we discuss and critically assess answers to these and related philosophical questions. This course is designed for both undergraduate and graduate students. Graduate students will fulfill additional requirements beyond those expected for undergraduate students.