MIT AI Risk Repository · Risk Sub-Category · 19.03.02
Replacement of humans and unemployment due to AI automation
Category: Economic AI Risks
Description
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From Governance of artificial intelligence: A risk and guideline-based integrative framework (Wirtz2022), as extracted by the MIT AI Risk Repository (CC BY 4.0).
Classification
- Causal entity
- Human
- Intent
- Intentional
- 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 Wirtz2022
- Technological, Data and Analytical AI Risks
- Loss of control of autonomous systems and unforeseen behaviour due to lack of transparency and self-programming/ reprogramming
- Programming error
- Lack of data, poor data quality, and biases in training data
- Vulnerability of AI systems to attacks and misuse
- Lack of AI experts with comprehensive AI knowledge
- Immaturity of AI technology can cause incorrect decisions
- High investment costs of AI hinder integration
- Informational and Communicational AI Risks
- Manipulation and control of information provision (e.g., personalised adds, filtered news)
- Disinformation and computational propaganda
- Censorship of opinions expressed in the Internet restricts freedom of expression