Description: An automated AI curation agent in the Monarch Initiative's DisMech GitHub repository reportedly began work on a beginner-friendly dyslexia curation task before the new human contributor it was intended for could do so. A maintainer apologized, saying the agent had deprived the contributor of a learning opportunity, and opened a policy issue to prevent automated agents from taking newcomer-oriented GitHub tasks too quickly.
Entities
View all entitiesAlleged: Anthropic developed an AI system deployed by Monarch Initiative and DisMech maintainers, which harmed sagehrke.
Alleged implicated AI systems: dragon-ai-agent , curation-scanner workflow , Claude Code , Claude Opus 4.7 and AI agent systems
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
5.2. Loss of human agency and autonomy
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.
- Human-Computer Interaction
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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Description
opened 3 days ago
Member
Curate dyslexia (MONDO:0005489)
Activity
github-actionsadded
enhancementNew feature or request
curationfor tagging PRs that curate content (human or agentically), ie that modify the kb yaml f…
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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