Class Details

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

Class Dates: This class runs from 2027-01-04 to 2027-03-26.
Footnote:
CIS -367-01Y: HYBRID, meets on-campus and online. 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. The lecture meets each week as noted in the class listing. The laboratory does not have scheduled meetings and can be completed independently each week on the student's own time. 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.ed/students/remotelearning.

Class Materials

View textbook and/or other materials 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

• Letter Grade
• Pass/No Pass

Limitations on Enrollment and Entrance Skills