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Trustworthy Generative AI

Vanderbilt University · View on Coursera ↗

Taught by Dr. Jules White

Data ScienceBusinessComputer SciencePersonal DevelopmentSocial Sciences

Coursera
4.8
headline rating
Starisk
4.7
Holds up

About the course

We see lots of news reports of Generative AI tools, such as ChatGPT, making mistakes and producing inaccurate information. Many of these mistakes happen because humans use the tools in the wrong way - trying to solve unsuitable problems and not thinking about risk. Hallucination isn't a bug, it's a feature when you approach problems correctly. This course teaches techniques for determining if a problem fits Generative AI's capabilities, framing problems to reduce risk, prompt engineering for tru

The dissent

The most-upvoted critical review (1 vote, 3.0★).

“Short and repetative compared to the two first”

3.0 / 5

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Coursera's 4.8 comes from 1,157 ratings. Of those, 1.1% 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 ↗