Open AccessComputer Science

K. Church

2024.1.16Natural Language Engineering

DOI: 10.1017/s1351324923000578

tlooto Summary

This article will describe a homework assignment, where my students were asked to use tools such as chat bots and web search to write a number of essays that were full of misinformation that should have been fact-checked.

Abstract

Abstract Usage of large language models and chat bots will almost surely continue to grow, since they are so easy to use, and so (incredibly) credible. I would be more comfortable with this reality if we encouraged more evaluations with humans-in-the-loop to come up with a better characterization of when the machine can be trusted and when humans should intervene. This article will describe a homework assignment, where I asked my students to use tools such as chat bots and web search to write a number of essays. Even after considerable discussion in class on hallucinations, many of the essays were full of misinformation that should have been fact-checked. Apparently, it is easier to believe ChatGPT than to be skeptical. Fact-checking and web search are too much trouble.

Citation format

CHURCH, K. Emerging trends: When can users trust GPT, and when should they intervene? Natural Language Engineering, 2024, 30: 417–427.