A-I 341WResponsible Artificial Intelligence
This course aims to equip students with the necessary conceptual frameworks, best practices, and technical tools for addressing challenges of designing and deploying systems that maximize the benefits of AI while minimizing their potential for harm. By examining case studies, students will be introduced to real-world examples related to AI fairness, privacy protection in relation to AI, generative AI, and accountability of AI systems. In addition, students will learn relevant methods, approaches, and best practices that can address related ethical considerations. Through this course, students will develop an awareness and understanding of the key social and ethical challenges that AI poses-issues of fairness, privacy, autonomy, trust, and democratic accountability, as well as become equipped to play an active role in addressing and overcoming such challenges in their future work. As a Writing Across the Curriculum course, students will be given individual writing assignments that are spaced at regular intervals to encourage active, regular writing. The students will write a draft for each individual assignment, receive peer and instructor feedback, revise their drafts, and then get final feedback from the instructor.
Prerequisites
From the catalog: “A-I 100 Enforced Concurrent at Enrollment: A-I 370 and ( DS 310 or CMPSC 448 or CMPSC 445 )”
Where it sits in degree plans
Required in (3)
- Artificial Intelligence Engineering, B.S.
- Artificial Intelligence Methods and Applications, B.S. (Capital)
- Artificial Intelligence Methods and Applications, B.S. (Information Sciences and Technology)