Evaluate GenAI output
When AI gets it wrong
AI can be wrong in multiple ways: It can give the wrong answer, omit information by mistake, mix truth and fiction, and even make up completely fake people, events, and articles. Below are two examples.
Wrong or misleading answer
Sometimes an AI will confidently return an incorrect answer. This could be a factual error, or – like in the example below – inadvertently omitted information. Vanuatu and Vatican City are both real countries, but these are not all the countries that start with the letter V.
False information
Sometimes, rather than simply being wrong, an AI will invent information that does not exist. Some people call this a “hallucination,” or, when the invented information is a citation, a “ghost citation.”
These are trickier to catch, because often these inaccuracies contain a mix of real and fake information. In the screenshot above, none of the listed sources on The Great Gatsby exist. While the authors are all real people, and the collections are all real books, none of the articles listed here are actually real.
When ChatGPT gives a URL for a source, it often makes up a fake URL, or uses a real URL that leads to something completely different. It’s key to double-check the answers AI gives you with a human-created source. You can find out how to fact-check AI text in sections and video at the bottom of this page.
How to fact-check AI output
You should treat AI outputs like fact-checking a text that provides no sources, like some online articles or social media posts. You’ll determine its credibility by looking to outside, human-created sources, by using the lateral reading strategy. You can think of this strategy as “tabbed reading”, moving laterally away from the AI information to sources in other tabs rather than just proceeding “vertically” down the page based on the AI prompt alone.
Watch: How to read laterally Links to an external site.
Click the plus signs on the image below to learn how to fact-check something you got from ChatGPT or a similar tool.
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