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Session Type: Symposium
In the rapidly evolving landscape of education, testing and assessment, the prevalence of AI-powered language models like ChatGPT has raised concerns about the authenticity of student responses. This symposium aims to explore challenges and solutions related to the use of generative AI by students and test takers. It will feature five talks that delve into the topics of using AI to generate text at different grade levels, identifying AI-generated content, the strength and weaknesses of current detection tools, guidelines for their use, as well as the problem of potential biases introduced by them. The symposium will shed light on the ethical implications and provide strategies to uphold academic integrity in the age of ChatGPT.
Jiangang Hao, Educational Testing Service
Michael Flor, Educational Testing Service
Ikkyu Choi, Educational Testing Service
Yang Jiang, Educational Testing Service
Detecting AI-Generated Essays: What You Should Know Before Making Important Decisions - Jiangang Hao, Educational Testing Service; Michael Fauss, Educational Testing Service; Chen Li, Educational Testing Service
AI-Generated Essays at Different Levels of Complexity - Michael Flor, Educational Testing Service
How to Fool an AI That Detects AI-Generated Content: Evaluating the Robustness of Nonauthentic Response Detection With Adversarial Examples - Ikkyu Choi, Educational Testing Service
Detecting AI-Generated Essays in a Large-Scale Educational Assessment: Is There a Bias Against Nonnative English Speakers? - Yang Jiang, Educational Testing Service; Jiangang Hao, Educational Testing Service; Michael Fauss, Educational Testing Service; Chen Li, Educational Testing Service
Whose Homework Is ChatGPT Copying? - Michael Fauss, Educational Testing Service