CIS 367
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
28901 CIS 367 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
······· TBA-TBA TBA TBA
······· TBA-TBA TBA ONLINE

Class Dates: This class runs from 2026-09-21 to 2026-12-11.
Footnote:
CIS-367-01Y: Hybrid ,meets on-campus and online as noted in the class listing. This class mirrors the for-credit class of the same number (CIS 367 mirrors CIS 67), so the course description is the same. Non-credit courses are intended for students who want to gain general knowledge, learn a new skill, upgrade existing skills, or enrich their understanding of a wide range of topics. Non-credit courses cannot be used to earn an associate degree nor any college transcriptable certificates. They can, however, be used to earn non-transcriptable certificates of completion. 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

View textbook and/or other materials available at the Bookstore.


Course Details

Units
0 Units
Hours
  • Weekly Lecture Hours: 4
  • Weekly Lab Hours: 1.5
Program Status
Program Applicable
Credit
Non-credit Class
Grading Method
Pass/Fail Grading

Limitations on Enrollment and Entrance Skills

(No limit on student re-enrollment for 0 unit courses.)
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