Description: In October 2024, Alaska’s Education Commissioner Deena Bishop allegedly used generative AI to draft a school cellphone policy, resulting in reportedly fabricated citations of non-existent studies. The document, which did not disclose AI use, was shared with the state Board of Education, and despite reported corrections, AI-generated errors remained in the final resolution.
Entities
View all entitiesAlleged: Unknown large language model developers developed an AI system deployed by Alaska Department of Education and Early Development and Deena Bishop, which harmed Alaskan education policymakers , Alaskan students , Alaskan parents of students , Alaskan education system and Alaska Board of Education members.
Alleged implicated AI system: Unknown large language models
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
3.1. False or misleading information
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.
- Misinformation
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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The state’s top education official relied on generative artificial intelligence to draft a proposed policy on cellphone use in Alaska schools, which resulted in a state document citing supposed academic studies that don’t exist.
The documen…
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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