Using AI in education raises several ethical concerns. Here are some key issues: Copyright, bias, identifying AI-created content, dependence and skill degradation, and accessibility. The following articles address some of these issues.
House Judiciary Subcommittee on Courts - Case examined the standards and policy considerations that should be applied to whether intellectual property (IP) should be give to inventions (patents) or creative works (copyrights) generated with the assistance of artificial intelligence (AI), including whether current and proposed rules on inventorship and authorship need to be changed.
Key takeaways: Research shows how AI is deepening the digital divide. Some AI algorithms are baked in bias, from facial recognition that may not recognize Black students to falsely flagging essays written by non-native English speakers as AI-generated.
Highlights: Randomized-controlled experiments investigating novice and experienced teachers' ability to identify AI-generated texts. Generative AI can simulate student essay writing in a way that is undetectable for teachers. Teachers are overconfident in their source identification. AI-generated essays tend to be assessed more positively than student-written texts.
