AI Detection Tools Allegedly Misidentify Neurodivergent and ESL Students' Work as AI-Generated in Academic Settings
Description
AI writing detection tools have reportedly continued to falsely flag genuine student work as AI-generated, disproportionately impacting ESL and neurodivergent students. Specific cases include Moira Olmsted, Ken Sahib, and Marley Stevens, who were penalized despite writing their work independently. Such tools reportedly exhibit biases, leading to academic penalties, probation, and strained teacher-student relationships.
Actors
Alleged Deployers
- universities
- colleges
- central-methodist-university
- berkeley-college
Alleged Developers
- turnitin
- gptzero
- copyleaks
Harmed Parties
- students
- neurodivergent-students
- moira-olmsted
- marley-stevens
- ken-sahib
- esl-students
- epistemic-integrity
- educational-communities
Classification
Risk Domain
AI Safety & FailuresRisk Subdomain
7.3. Lack of capability or robustness
MIT Risk Profile
Topics
Source
Related Incidents (AI Safety & Failures)
View all →Research Papers on This Topic
View all →Concrete Problems in AI Safety
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
Representation Engineering: A Top-Down Approach to AI Transparency
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Mitigation Tools
Tools related to this risk domain, via shared responsible AI topics.