AI incident #111 ·
Amazon Flex Drivers Allegedly Fired via Automated Employee Evaluations
What happened
Amazon Flex's contract delivery drivers were dismissed using a minimally human-interfered automated employee performance evaluation based on indicators impacted by out-of-driver's-control factors and without having a chance to defend against or appeal the decision.
Only the incident metadata is stored here. The underlying news reports are on the AI Incident Database (CC BY-SA 4.0); use the links above to read them.
News reports (5)
Coverage catalogued by the AI Incident Database. Titles link to the original publisher; the text is not reproduced here.
Who was involved
- Alleged deployer
- Amazon Flex
- Alleged developer
- Amazon
- Alleged harmed party
- Amazon Flex employees Amazon Flex drivers
AI systems implicated
Classification (MIT AI Risk Repository taxonomy)
- Risk domain
- Socioeconomic & Environmental Harms
- Causal entity
- AI
- Intent
- Intentional
- Timing
- Post-deployment
- Harm level
- —
- Sectors
- —
- Countries
- —
Risk entries describing this failure mode
Entries from the MIT AI Risk Repository coded to subdomain 6.2.
- Job loss/losses
"Job loss/losses - Replacement/displacement of human jobs by a technology system, leading to increased unemployment, inequality, reduced consumer spending, and social friction."
- Societal destabilisation
"Societal destabilisation - Societal instability in the form of strikes, demonstrations and other types of civil unrest caused by loss of jobs to technology, unfair algorithmic outcomes, disinformation, etc."
- Societal inequality
"Societal inequality - Increased difference in social status or wealth between individuals or groups caused or amplified by a technology system, leading to the loss of social and community wellbeing/cohesion and destabil...
- Labour exploitation
"Labour exploitation - Use of under-paid and/or offshore labour to develop, manage or optimise a technology system."
- Political instability
"Political instability - Political polarisation or unrest caused by increased inequality, job losses, over- dependence on technology making societies vulnerable to systemic failures, etc, arising from or amplified by the...
- Increased income disparity
"While AI is predicted to bring increased GDP per capita by performing existing jobs more efficiently and compensating for a decline in the workforce, especially due to population aging, the potential substitution of man...
- Economic
"AI is predicted to bring increased GDP per capita by performing existing jobs more efficiently and compensating for a decline in the workforce, especially due to population aging, the potential substitution of many low-...
- Effects on the Workforce
"Rapid advances in LLMs pose three distinct sets of challenges for workers’ incomes (Korinek and Stiglitz, 2019; Susskind, 2023). First, they are likely to accelerate the rate of job turnover and disruption —– affecting...
Related incidents on the AI Incident Database
Linked by AIID editors or by its text-similarity model.
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