Computing systems and technologies fundamentally impact the lives of most people in the world, including how we communicate, get information, socialize, and receive healthcare. This course is the second of a three course sequence that examines ethical issues in the design and implementation of computing systems and technologies, and reflects upon the broad implication of computing on our society. It covers algorithmic bias in machine learning methods, professional ethics, and issues in the tech workplace.
This course can be taken for academic credit as part of CU Boulder’s MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more:
MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Status: Computer Science
Computer Science
Status: Diversity Awareness
Diversity Awareness
Beginner·Course·38 hours
Featured reviews
5.0
·Reviewed Apr 19, 2026
This course is really useful and the way of teaching is understandable very well
All reviews
Showing: 11 of 11
All Learners
All Stars
Most Helpful
S
SurendraPal
5.0
·Reviewed Aug 20, 2026
Excellent training session. The content was well-structured, informative, and relevant to our work. The trainer explained the concepts clearly and engaged participants throughout the session. I gained valuable insights and practical knowledge that I can apply in my role. Thank you for organizing such an effective learning program.
2
25CSC16
5.0
·Reviewed Apr 20, 2026
This course is really useful and the way of teaching is understandable very well
F
Fatima
5.0
·Reviewed Oct 2, 2025
VERY NICE WORK MODULE, I AM HAPPY
S
Sav
5.0
·Reviewed Aug 26, 2025
Thank you !!
S
Shaik
5.0
·Reviewed Oct 29, 2024
good course
V
VELEZ
5.0
·Reviewed Jul 20, 2025
Good
G
Giselle
4.0
·Reviewed Jul 5, 2024
For anyone committed to "doing not harm" with AI, this is a very insightful course. I took a star off for the notable volume of reading materials behind paywalls, the number of essays that were requested and equally the high number of peer reviews that were required.
G
Gattigorla
4.0
·Reviewed Oct 18, 2024
Good
S
Said
2.0
·Reviewed May 26, 2024
the course is great but the quality of the sound is so bad