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Increasing inequality and negative effects on job quality

AI Risk

"Advances in LMs, and the language technologies based on them, could lead to the automation of tasks that are currently done by paid human workers, such as responding to customer-service queries, translating documents or writing computer code, with negative effects on employment."

Overview

A source-backed snapshot of this AI risk.

Techniques0Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Records2Source records unified into this concept.

Risk profile

How the MIT AI Risk Repository categorizes this risk.

Domain6. Socioeconomic and Environmental
Subdomain6.2 > Increased inequality and decline in employment quality
Entity1 - Human
Intent3 - Other
Timing2 - Post-deployment
CategoryAutomation, Access and Environmental Harms; Risk area 6: Environmental and Socioeconomic harms
SubcategoryIncreasing inequality and negative effects on job quality

Merged risk records

Source records unified into this canonical risk concept.

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MITRISK-Weidinger2021-17.06.02 - Increasing inequality and negative effects on job quality

"Advances in LMs, and the language technologies based on them, could lead to the automation of tasks that are currently done by paid human workers, such as responding to customer-service queries, translating documents or writing computer code, with negative effects on employment."

Domain6. Socioeconomic and EnvironmentalSubdomain6.2 > Increased inequality and decline in employment qualitySourceEthical and social risks of harm from language modelsYear2021

MITRISK-Weidinger2022-16.06.02 - Increasing inequality and negative effects on job quality

"Advances in LMs and the language technologies based on them could lead to the automation of tasks that are currently done by paid human workers, such as responding to customer-service queries, with negative effects on employment [3, 192]."

Domain6. Socioeconomic and EnvironmentalSubdomain6.2 > Increased inequality and decline in employment qualitySourceTaxonomy of Risks posed by Language ModelsYear2022

Related techniques

Attack methods connected to this risk.

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No linked attack methods. No AI attack method is connected to this risk in the current data.

Mitigations

Defenses that may help with related attacks.

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No propagated mitigations. No defense is available through the connected attack methods.

Source evidence

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