MIT AI Risk Repository · Risk Sub-Category · 67.01.02
Labour market disruption
Category: Societal harms
Description
"Economists view disruption and displacement in labour markets as one of the risks through which rapid advances in AI may affect citizens and reduce social welfare.170"
From Capabilities and Risks from Frontier AI (DSIT2023), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
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 DSIT2023
- Societal harms
- Degradation of the information environment
- Degradation of the information environment
- Degradation of the information environment
- Degradation of the information environment
- Degradation of the information environment
- Labour market disruption
- Bias, Fairness and Representational Harms
- Bias, Fairness and Representational Harms
- Bias, Fairness and Representational Harms
- Bias, Fairness and Representational Harms
- Misuse risks