Content-type: text/html ~ Stephen's Web ~ AI Plagiarism Considerations Part 1: AI Plagiarism Dectectors

Stephen Downes

Knowledge, Learning, Community

Lance Eaton starts a three-part series on plagiarism detectors by setting up the background: "to say we have proof isn't accurate.  We have probability and unfortunately, we have probability that is impossible for the student to disprove since we don't get to actually look under the hood of the AI detector." So while "none of this means we shouldn't pursue what might be an anomaly in a student's work" it means "we have to do it by being in conversation with the student. Ideally, the conversation should be more discovery and observation of facts." Good post; I look forward to the rest of the series. Via Bryan Alexander.

Today: 3 Total: 18 [Direct link] [Share]

Stephen Downes Stephen Downes, Casselman, Canada

Copyright 2024
Last Updated: Jul 23, 2024 11:21 a.m.

Canadian Flag Creative Commons License.