CIS 67
Implementing Responsible AI
Course Description
This course addresses the ethical, societal, and governance aspects of artificial intelligence, preparing students to navigate and implement AI responsibly. Key topics include AI ethics frameworks, transparency, fairness, accountability, and the societal impact of AI technologies. Students will explore real-world case studies, focusing on ethical decision-making, policy implications, and responsible AI practices across various industries. The course also introduces tools and guidelines for integrating ethical AI into business operations, emphasizing frameworks for data governance, privacy, and bias mitigation. By the end, students will be equipped to assess and address ethical challenges in AI, contributing to responsible innovation in their fields.
Class Details
| CRN | Course | Section | Days | Times | Instructor | Loc |
|---|---|---|---|---|---|---|
| 40037 | CIS 67 | 01Y | M······ | 06:00 PM-06:50 PM | Sukhjit Singh | AT204 |
| ··W···· | 06:00 PM-06:50 PM | ONLINE | ||||
| ······· | TBA-TBA | ONLINE | ||||
| ······· | TBA-TBA | ONLINE |
Class Dates: This class runs from 2027-01-04 to 2027-03-26.
Footnote:
CIS-67.-01Y: HYBRID, meets on-campus and online. This class meets each week on campus and online as noted in the class listing. Students must have access to a computer, the internet and an individual email address. Most De Anza classes will use the Canvas course management system. We recommend a laptop or desktop computer to successfully complete the course; a tablet or phone may not be adequate for all assignments and tests. Information about Canvas and Online Education Orientation can be found in Canvas on the Student Resources page: https://deanza.instructure.com/courses/3382. The Student Online Resources hub with extensive information and tips can be found at deanza.edu/online-ed/students/remotelearning.
Class Materials
This course either has not submitted any materials to the bookstore for use or is using Open Education Resources. Please check with the instructor.
View textbook and/or other materials available at the Bookstore.
Course Details
- Units
- 4.5 Units
- Hours
- Weekly Lecture Hours: 4
- Weekly Lab Hours: 1.5
- Program Status
- Program Applicable
- Credit
- Credit - Degree Applicable
- Grading Method
- Pass/Fail Grading