Looking for help to detect texts or parts of a text generated by GPT-3 or GPT-2 or another artificial intelligence model?
[Note that it’s extremely difficult to definitively determine whether a language model was used to generate a piece of text, and no tool is guaranteed to be 100% effective. However, they could be potentially useful to help you identify potential instances of language model-generated text.]
That said, here’s a short and ever-growing list:
How do these tools detect AI-generated content?
These tools generally:
- Look for common linguistic features or patterns in machine-generated text. AI-generated text, for example, may be more repetitive or have a reduced degree of complexity and variability compared to text written by a human.
- Check for specific formatting or structural features that are common in machine-generated text. AI-generated text might have a more uniform structure or lack the variety of formatting styles that is typical of human-written text.
- Check for certain keywords or phrases that are commonly used in AI-generated text. That’s a lot harder already. In general, there are statistically significant patterns known and detectable of which word combinations a model like GPT3.5 picks.
- Compare the content with known examples of machine-generated text to determine the likelihood that it was generated by a machine.
There’s still time to sign up for tomorrow’s Technology and Tacos lunch-and-learn session: