MIT AI Risk Repository · Risk Sub-Category · 45.02.12
Ethical Risks (Risks of challenging traditional social order)
Category: Safety risks in AI Applications
Description
"The development and application of AI may lead to tremendous changes in production tools and relations, accelerating the reconstruction of traditional industry modes, transforming traditional views on employment, fertility, and education, and bringing challenges to the stable performance of traditional social order."
From AI Safety Governance Framework (TC2602024), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Causal entity
- Other
- Intent
- Unintentional
- Timing
- Other
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 TC2602024
- AI's inherent safety risks
- Risks from models and algorithms (Risks of explainability)
- Risks from models and algorithms (Risks of bias and discrimination)
- Risks from models and algorithms (Risks of robustness)
- Risks from models and algorithms (Risks of stealing and tampering)
- Risks from models and algorithms (Risks of unreliable output)
- Risks from models and algorithms (Risks of adversarial attack)
- Risks from data (Risks of illegal collection and use of data)
- Risks from data (Risks of improper content and poisoning in training data)
- Risks from data (Risks of unregulated training data annotation)
- Risks from data (Risks of data leakage)
- Risks from AI systems (Risks of exploitation through defects and backdoors)