Description: A 16-year-old student in Greater Noida, India, reportedly died by suicide after being questioned by school authorities over suspected use of AI tools during a pre-board examination. The student's family alleges she was publicly reprimanded and mentally harassed following the incident, contributing to severe distress. School officials deny harassment and state disciplinary actions followed exam rules.
Entities
View all entitiesAlleged: Generative AI developers developed an AI system deployed by Unnamed student in Greater Noida and Unnamed secondary school in Greater Noida, which harmed Unnamed student in Greater Noida , Students in India , Students , Minors and Educational communities.
Alleged implicated AI systems: Unknown generative AI systems and Large language models
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
4.3. Fraud, scams, and targeted manipulation
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.
- Malicious Actors & Misuse
Entity
Which, if any, entity is presented as the main cause of the risk
Human
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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**Noida: **A 16-year-old Class 10 student allegedly died by suicide after being questioned by her school authorities over the suspected use of AI-based assistance during a pre-board examination, police said on Saturday (December 27). The in…
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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