Evan Selinger Headshot

Evan Selinger

Professor

Department of Philosophy
College of Liberal Arts
emsgsh@rit.edu
585-475-2531
Office Location
EAS-3146
Office Mailing Address
06-A315

Evan Selinger

Professor

Department of Philosophy
College of Liberal Arts

Education

BA, Binghamton University; MA, University of Memphis; Ph.D., State University of New York at Stony Brook

Bio

Evan Selinger is a Professor in the Department of Philosophy at the Rochester Institute of Technology. His research covers a range of issues in the philosophies of technology, especially privacy and ethics (including AI ethics).  

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emsgsh@rit.edu
585-475-2531
Personal Links
Personal Website
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Currently Teaching

IDAI-700
Ethics of Artificial Intelligence
3 Credits
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.
PHIL-101
Introduction to Philosophy
3 Credits
Philosophy is about the rigorous discussion of big questions, and sometimes small precise questions, that do not have obvious answers. This class is an introduction to philosophical thinking where we learn how to think and talk critically about some of these challenging questions. Such as: Is there a single truth or is truth relative to different people and perspectives? Do we have free will and, if so, how? Do we ever really know anything? What gives life meaning? Is morality objective or subjective, discovered or created? We’ll use historical and contemporary sources to clarify questions like these, to understand the stakes, to discuss possible responses, and to arrive at a more coherent, more philosophically informed, set of answers.
PHIL-305
Philosophy of Peace
3 Credits
An introduction to some of the philosophical dimensions of the search for world peace, including the elements that would constitute a just and lasting peace, nations as moral entities, justice and national self-interest, force and violence, the morality of the use of force, peace-making and peace-keeping groups.
PHIL-307
Philosophy of Technology
3 Credits
Technology is a ubiquitous and defining force in our world. This course investigates how our conceptions of technology have emerged within philosophy, as well as the role technology plays in shaping how we live and how we reflect upon questions of meaning and value in life. Technological modes of understanding, organizing and transforming the world shape our relationships with others, with ourselves and with nature at fundamental levels. We will explore how these modes have emerged and why they emerged so predominantly within a Western social and intellectual context.

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