Student Opportunities

The Grefenstette Center offers many events, poster competitions, and other awards throughout the year, so check back on this page regularly!

Sign up for our Fall courses now! The Grefenstette Center is excited to announce two new courses for the Fall of 2022:


1- GREF 210, "Artificial Intelligence Ethics," taught by John Slattery and Nathan Colaner (online, async). Satisfies Bridges Requirement of Ethics and Moral Responsibility.


GREF 210 - Artificial Intelligence Ethics
Digital technologies, and the artificially intelligent systems making them possible, have taken over our lives, from cell phones to cloud computing to voting. But where does ethics come in, and who decides what is ethical? How can we think clearly about issues of privacy, monopoly, free speech, autonomy, racism, misogyny, and equality? What is the relationship between humans and technology, and what should it be? This course, hosted by Duquesne's Carl G. Grefenstette Center for Ethics in Science, Technology, and Law, will examine a wide variety of topics in artificial intelligence, including algorithmic bias, machine learning, and transhumanism. The course will empower students to thoroughly appraise the ethical concerns in science and technology through a Catholic lens.
3.000 Credit hours
3.000 Lecture hours


2- GREF 211, "Ethics of Technology and Science," taught by Ercan Avci (in person). Satisfies Bridges Requirement of Ethics and Moral Responsibility.


GREF 211 - Ethics of Technology & Science
This course consists of a study of theoretical and practical issues in science and technology from an ethical perspective to help undergraduate students to comprehend typical ethical dilemmas and conflicts rising with scientific and technological developments and facilitate possible ethical responses to the relevant matters. The course aims to help students to understand relevant ethical issues and develop an ethical approach to identify, analyze, and facilitate possible resolutions. The course examines conceptual framework, moral theories, ethical principles, and ethical reasoning prior to elaborating on specific areas in science and technology, including artificial intelligence, information technologies, ecology and environment, medical research, and genomics.
3.000 Credit hours
3.000 Lecture hours