Word of the Week: Hallucinations (in the context of Artificial Intelligence, Machine Learning, and Natural Language Processing)?

The term "hallucination" refers to a phenomenon where an AI model generates or interprets information not grounded in its input data. Simply put, the AI is making stuff up. This can occur in various forms across different AI applications:

Remember just like you can’t complain to the judge when your clerk makes a factual or legal error in your brief, you can’t blame ai for its errors and hallucinations! 😮

Text Generation: In NLP, hallucination is often observed in language models like ChatGPT. Here, the model might generate coherent and fluent text, but this text is factually incorrect or unrelated to the input prompt. For instance, if asked about historical events, the model might 'hallucinate' plausible but untrue details. Another example is when attorneys rely on ChatGTP to draft pleadings only to learn the hard way that its cited cases do not exist. (Remember, always check your work!)

Image and Speech Recognition: In these areas, AI hallucination can occur when a model recognizes objects, shapes, or words in data where they do not actually exist. For example, an image recognition system might incorrectly identify an object in a blurry image, or a speech recognition system might transcribe words that were not actually spoken.

I’ll spare you a deep, complex discussion of the problems with AI in this context.  But the three takeaways for attorneys are: 1. The programming for AI is not ready to write briefs for you without review, 2. Attorneys are not being replaced by attorneys (but attorneys who do not know how to use AI in their practice correctly will be replaced), and 3. Always check your work!

Happy Lawyering!