MIT AI Risk Repository · Risk Sub-Category · 50.03.07
Economic harm (Disempowering Workers)
Category: Societal 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
- Other
- Intent
- Other
- 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 Zeng2024
- -
- 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 (Autonomous unsafe operation of systems)
- Operational misuses (Advice in heavily regulated industries)