Description: An anonymized university student said Turnitin’s AI detector flagged 67% of an essay as AI-generated, despite the student claiming to have written the assignment by hand. The student reportedly received a zero and said attempts to appeal to the professor, department head, and Turnitin support had not resolved the accusation.
Entities
View all entitiesAlleged: Turnitin developed an AI system deployed by Unspecified university, which harmed Anonymous student , Students , University students and Educational communities.
Alleged implicated AI systems: Turnitin and AI text detection systems
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
7.3. Lack of capability or robustness
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- AI system safety, failures, and limitations
Entity
Which, if any, entity is presented as the main cause of the risk
AI
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional
Incident Reports
Reports Timeline
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We received this heartbreaking email by someone who is falsely being accused of using "AI" to generate an essay and was given ZERO on their assignment. How many people's lives are being ruined like this? This should be unacceptable.
Hello,…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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