MIT AI Risk Repository · Risk Sub-Category · 50.01.05
Operational misuses (Autonomous unsafe operation of systems)
Category: System and Operational Risks
Description
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From AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies (Zeng2024), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Causal entity
- Human
- Intent
- Intentional
- Timing
- Post-deployment
Subdomain definition: Humans delegating key decisions to AI systems, or AI systems making 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.
Real-world incidents in this subdomain
- DisMech AI Curation Agent Reportedly Completed GitHub Issue Intended as New Contributor's Learning Task
- Waymo Driverless Taxi Allegedly Stalled During Pedestrian Harassment Incident in San Francisco
- California Police Turned on Music to Allegedly Trigger Instagram’s DCMA to Avoid Being Live-Streamed
- Hawaii Police Deployed Robot Dog to Patrol a Homeless Encampment
How other frameworks describe this risk
Other entries from Zeng2024
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- Security risks (confidentiality)
- Security risks (confidentiality)
- Security risks (integrity)
- Security risks (integrity)
- Security risks (availability)
- Security risks (availability)
- Operational misuses (Automated decision-making)
- Operational misuses (Automated decision-making)
- Operational misuses (Autonomous unsafe operation of systems)
- Operational misuses (Advice in heavily regulated industries)
- Operational misuses (Advice in heavily regulated industries)