Generative AI: Impact, Considerations, and Ethical Issues
IBM · View on Coursera ↗
Taught by IBM Skills Network Team
Data ScienceComputer Science
About the course
In this course, you will explore the impact of generative artificial intelligence (AI) on society, the workforce, organizations, and the environment. This course is suitable for anyone interested in learning about the ethical, economic, and social implications of generative AI and how generative AI can be used responsibly. It will benefit professionals, executives, policymakers, and students. In this course, you will learn about the ethical concerns of generative AI, including data privacy, b
The dissent
The most-upvoted critical review (3 votes, 2.0★).
“The content is ok, but the usage of AI for the voice is an awful idea. The speech is too fast, with almost no pauses, and it's really hard to absorb and comprehend. The only two videos that I enjoyed were a recording of actual people recording. You don't think about your users, who are HUMANS, and the way the human brain works and absorbs new information is very specific. It seems like the team is driven to generate as much content as possible with great speed, forgetting or perhaps not caring if it's actually usable for HUMANS.”
Coursera's 4.8 comes from 346 ratings. Of those, 2.0% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.
Reviews read on 23 Oct 2026.Read them on Coursera ↗