CENG7880 TRUSTWORTHY AND RESPONSIBLE AI
| Course Code: | 5717880 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Computer Engineering |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | |
| Offered Semester: | Fall and Spring Semesters. |
Course Objectives
The course aims to:
- Introduce the social, ethical and policy implications of AI.
- Inform about the dependability limitations of and teach robust approaches to AI.
- Inform about drawbacks of opaque approaches and teach explainable AI methods.
- Inform about the bias issues in AI and teach fairer AI methods.
Course Content
Ethical concepts and principles of trust and responsibility in AI; computational methods for dependability and i'obustness in AI; computational methods for explainability in AI; computational methods for bias and faii'ness in AI.
Course Learning Outcomes
At the end of the course, the students will be expected to:
- Have awareness about the social, ethical and policy implications of AI.
- Understand the dependability limitations of and learn robust approaches to AI.
- Understand drawbacks of opaque approaches and learn explainable AI methods.
- Understand bias issues in AI and learn fairer AI methods.