MIT AI Risk Repository · Risk Sub-Category · 72.04.04
Social Cohesion and Equity Disruption:
Category: Systemic Risks
Description
"Systemic deployment of biased AI systems could exacerbate existing social discrimination and prejudice at unprecedented scales, while unequal access to advanced AI capabilities may widen socioeconomic disparities and create new forms of social stratification that challenge traditional social order."
From Frontier AI Risk Management Framework (v1.0) (Tse2025), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Causal entity
- Human
- Intent
- Unintentional
- Timing
- Post-deployment
Subdomain definition: Widespread use of AI increasing social and economic inequalities, such as by automating jobs, reducing the quality of employment, or producing exploitative dependencies between workers and their employers.
Real-world incidents in this subdomain
- Polish Radio Station Replaces Human Hosts with AI-Generated Presenters to Simulate Interviewing Deceased Poet Wisława Szymborska
- Fast Food Chains' AI Chatbots Failed to Assist Job Applicants with Scheduling Interviews
- Kenyan Data Annotators Allegedly Exposed to Graphic Content for OpenAI's AI
- RealPage Algorithm Allegedly Inflates Rents and Reduces Competition in Housing Market
- Amazon Flex Drivers Allegedly Fired via Automated Employee Evaluations
- Kronos Scheduling Algorithm Allegedly Caused Financial Issues for Starbucks Employees
How other frameworks describe this risk
Other entries from Tse2025
- Misuse Risks
- Misuse Risks
- Cyber Offense Risks
- Biological and Chemical Risks
- Biological and Chemical Risks
- Physical Harm and Injury Risks
- Physical Harm and Injury Risks
- Large-Scale Persuasion and Harmful Manipulation Risks
- Large-Scale Persuasion and Harmful Manipulation Risks
- Loss of Control Risks
- Loss of Control Risks
- Passive loss of control