MIT AI Risk Repository · Risk Sub-Category · 61.02.27
High-speed AI operations
Category: Sources of systemic risks from general-purpose AI
Description
"The fast operational speed of AI models and systems in competitive environments can lead to errors that are difficult to detect and correct in time."
From A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Subdomain
- 6.4 Competitive dynamics
- Causal entity
- AI
- Intent
- Unintentional
- Timing
- Post-deployment
Subdomain definition: AI developers or state-like actors competing in an AI ‘race’ by rapidly developing, deploying, and applying AI systems to maximize strategic or economic advantage, increasing the risk they release unsafe and error-prone systems.
Real-world incidents in this subdomain
- Korean Internet Portal Giant Naver Manipulated Shopping and Video Search Algorithms to Favor In-House Services
- Apple Tweaked App Store Ranking Algorithms, Allegedly Resulted in Demotion of Local Apps in China
- Inefficiencies in the United States Resident Matching Program