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It’s not only programming, journalism and content moderation that OpenAI is seeking to revolutionize with the use of its landmark large language models (LLMs) GPT-3, GPT-3.5 and GPT-4.

Today, the company published a new blog post titled “Teaching with AI” that outlines examples of six educators from various countries, mostly at the university level though one teaches high school, using ChatGPT in their classrooms.

How will AI models that can generate text, images, audio, video and code change what students need to learn and the instructional processes that guide their learning? Do we need generative models designed specifically for educational purposes?

Speakers.
Dora Demszky: Assistant Professor of Education Data Science, Stanford University.
Noah Goodman: Associate Professor of Psychology, of Computer Science and by courtesy of Linguistics, Stanford University.
Percy Liang: Director, Center for Research on Foundation Models; Associate Professor of Computer Science, Stanford University.
Rob Reich: Professor of Political Science; Faculty Director, McCoy Family Center for Ethics in Society; Marc and Laura Andreessen Faculty Co-Director, Stanford Center on Philanthropy and Civil Society; Associate Director, Stanford HAI

The AI+Education Summit: AI in the Service of Teaching and Learning took place on Feb. 15, 2023. Learn about upcoming events here: https://hai.stanford.edu/events

No detectors “reliably distinguish between AI-generated and human-generated content.”

In a section of the FAQ titled “Do AI detectors work?”, OpenAI writes, “In short, no. While some (including OpenAI) have released tools that purport to detect AI-generated content, none of these have proven to reliably distinguish between AI-generated and… More.

Last week, OpenAI published tips for educators in a promotional blog post that shows how some teachers are using ChatGPT as an educational aid, along with suggested prompts to get started. In a related FAQ, they also officially admit what we already know: AI writing detectors don’t work, despite frequently being used to punish students with false positives.

In July, we covered in depth why AI writing detectors such as GPTZero don’t work, with experts calling them mostly snake oil. These detectors often yield false positives due to relying on unproven detection metrics. Ultimately, there is nothing special about AI-written text that always distinguishes it from human-written, and detectors can be defeated by rephrasing. That same month, OpenAI discontinued its AI Classifier, which was an experimental tool designed to detect AI-written text. It had an abysmal 26 percent accuracy rate.