This is a research prototype. The data and analyses are preliminary and not yet validated — we'd welcome your .
An AI agent called dragon-ai-agent automatically picked up and began working on a GitHub curation issue intended for a new contributor, depriving them of a learning opportunity.
On a GitHub repository called dismech, a new contributor named sagehrke created an issue requesting curation of a dyslexia entry (MONDO:0005489) with detailed research summary and specifically tagged an AI agent called dragon-ai-agent to help with the curation. However, the AI agent automatically picked up the issue and created a pull request (#1803) before the human contributor could work on it themselves. The repository maintainer cmungall apologized for the 'overeager bot' and acknowledged that the agent had deprived sagehrke of a learning opportunity. Another user smcgregor noted this was 'borderline an incident' by AI incident criteria, as an agent depriving someone of a learning opportunity. The maintainers subsequently created issue #1808 to establish rules for when automated agents should NOT pick up issues, including respecting 'good first issue' style tickets and giving new contributors a grace period. The sagehrke then self-assigned the issue and added a 'good first issue' label to prevent future automated pickup.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
Delegating by humans of key decisions to AI systems, or AI systems that make decisions that diminish human control and autonomy, potentially leading to humans feeling disempowered, losing the ability to shape a fulfilling life trajectory, or becoming cognitively enfeebled.
AI system
Due to a decision or action made by an AI system
Unintentional
Due to an unexpected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed
