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 trust, and appropriate human engagement in the process. Students learn concrete prompt designs, how to check outputs, how to use Generative AI for ideation and creation, ways to augment human skills, and more ethical, beneficial applications.
Trustworthy Generative AI
Trustworthy Generative AI
This course is part of multiple programs.
Instructor: Dr. Jules White
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943 reviews
Beginner level
Recommended experience
Flexible schedule
9 hours to complete
Learn at your own pace
98%
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What you'll learn
What problems actually make sense to solve with Generative AI
How to frame problems and prompt engineer to produce more trustworthy results from Generative AI
Skills you'll gain
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Assessments
2 assignments
Taught in English
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There is 1 module in this course
What's included
12 videos5 readings2 assignments
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Showing 3 of 943
DT
Reviewed on Feb 4, 2024
The shortest and most useful of all the classes; but only if you take the other two classes in this offering. My life is better for having made an effort to understand Augmented Intelligence.
CA
Reviewed on Jun 11, 2024
The assignments were harder than I thought but they allowed me to understand the problems with Generative AI and how to manage those weaknesses appropriately.
KK
Reviewed on Feb 27, 2024
An outstanding introduction on how to leverage generative AI, particularly for those with subject matter expertise, as well as how not to misuse AI. Thanks, Professor White!