Ph.D. Certificate: Ethics and Artificial Intelligence
A joint certificate between the School of Computer Science and Dietrich College
Artificial intelligence and AI-based technologies are rapidly becoming a powerful force in today’s science and society.
As these technologies continue to shape our world, there is a growing need to ensure they are designed, developed, deployed, and used in an ethical and responsible manner. AI technologies raise complex and novel ethical and societal challenges that require both deep technical expertise and ethical knowledge to address. Numerous examples have demonstrated the consequences of failing to meet ethical standards, ranging from the lack of transparency to privacy violations. To develop responsible AI systems, scientists and engineers must understand the ethical implications of their work, while social scientists and humanities researchers must grasp the capabilities and limitations of AI and machine learning to provide meaningful guidance. Many technology companies have established dedicated teams to guide the ethical development and deployment of AI. This trend shows the urgent need to educate technologists, social scientists, and humanities researchers who can lead these efforts in industry and beyond.
Experience has shown that effective collaboration between technologists and ethicists requires a shared understanding of each other’s concepts and vocabularies. To meet this need, this certificate program offers cross-disciplinary training, enabling participants from various fields to engage meaningfully with one another and work together on challenges at the intersection of AI, ethics, and society. We believe this convergence of technical and ethical skills is essential for the future.
Students who complete this certification will be well-positioned at the forefront of a critical and emerging interdisciplinary field.
The certificate program will consist of four courses:
- One graduate-level course in Ethics (either the portal or another grad-level course)
- One graduate-level course in AI/ML (either the portal or another grad-level course)
- An "integrative" course that examines fundamental issues in Al/technology and Ethics from both a technical and philosophical viewpoint
- A project-oriented course that will involve synthesizing the concepts learned and applying them to a problem from an external client from industry, government, or not-for-profit.
For the first two requirements above, we will offer courses that are accessible to students who are not majoring in the field (which we refer to as "portal" courses). Alternately, students can substitute an advanced graduate-level course for the portal course. The curriculum spreadsheet indicates pre-approved substitute courses, although other courses may be accepted by petitioning the program director. We will allow one course to double-count with the student's Ph.D. requirements, so that a student in either Ethics or AI can complete the certificate with only 3 additional courses, while the program still remains accessible to students from other disciplines.
Concretely, students completing the certification program will acquire the following skills:
- Recognize and be fluent with the basic concepts in both AI/ML and Ethics
- Demonstrate mastery in either AI/ML or Ethics
- Identify ethical issues involved in AI applications
- Design feasible solutions, both technical and non-technical, to ethical issues involved in Al applications
- Communicate ethical and technical concerns to ethicists, technologists, and the public
View the Course Options
Core Courses
- 80-836: Topics on Ethics in Al (Portal Course)
- 17-709: Demystifying Al for Everyone: Concepts and Application (Portal Course)
- 17-737: Al Methods for Social Good
- 10-735; 10-814; 80-831: Responsible Al
- 80-736; 16-736: Ethical Al in the Wild (Project Course)
Elective Courses
School of Computer Science, Machine Learning Department
- 10-601; 10-701: Introduction to Machine Learning
- 10-613; 10-713: Machine Learning with Large Databases
- 10-617: Intermediate Deep Learning
- 10-618: Machine Learning for Structured Data
- 10-703: Deep Reinforcement Learning and Control
- 10-712: Fairness, Explainability, and Accountability for Machine Learning
- 10-714: Deep Learning Systems: Algorithms and Implementation
- 10-623: Generative AI
School of Computer Science, Language Technologies Institute
- 11-785: Introduction to Deep Learning
- 11-697: Question Answering with Large Language Models
- 11-711: Advanced Natural Language Processing
- 11-777: Multimodal Machine Learning
- 11-663: Applied Machine Learning
- 11-667; 11-967: Large Language Models Methods and Application
School of Computer Science, Computer Science Department
- 15-780: Artificial Intelligence
- 15-784: Cooperative Al
- 15-888: Computational Game Solving
School of Computer Science, Robotics Department
- 16-633: Robot Cognition and Learning
- 16-740: Al for Manipulation
- 16-884: Deep Learning for Robotics
School of Computer Science, Software & Societal Systems
- 17-709: Demystifying Al for Everyone: Concepts and Application
- 17-737: Al Methods for Social Good
Carnegie Institute of Technology, Engineering & Public Policy
- 19716 - AI Governance: Identifying & Mitigating Risks in Design & Dev of AI Solutions
Dietrich College of Humanities and Social Sciences, Philosophy Department
- 80-635: Social and Political Philosophy
- 80-835: Seminar in Social and Political Philosophy
- 80-830: Seminar on Ethical Theory
- 80-837: Seminar on Research Ethics
Dietrich College of Humanities and Social Sciences, Department of Social & Decision Sciences
- 88-718: Large-scale Social Phenomena
Frequently Asked Questions
What are the admission requirements?
Submit the online application form, a brief statement of interest, and evidence of advisor approval.
When are admission decisions made?
2-4 weeks after the submission of the application form.
Is there a deadline for application?
Applications are accepted on a rolling basis.
Is advisor approval required?
Yes. Because the certificate involves additional coursework, students must have their advisor’s support before enrolling.
Can courses you have already taken count?
Yes. One relevant coursework may be applied toward the certificate with approval from the program director.
How will the certificate enhance your Ph.D.?
The certificate signals to future employers and collaborators that you have advanced training in addressing ethical challenges in AI.