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AI Risk

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 more workers, including more highly skilled workers, and making the adjustment process for society more difficult than what we were used to from prior technological advances...Second, although tech...

AI Risk6. Socioeconomic and Environmental6.2 > Increased inequality and decline in employment quality2 - Post-deployment

Record summary

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Techniques0Attack methods connected to this risk.
Mitigations0Defenses that may help with related attacks.
Domain6. Socioeconomic and EnvironmentalThe broad risk area this belongs to.

Risk profile

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"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 more workers, including more highly skilled workers, and making the adjustment process for society more difficult than what we were used to from prior technological advances...Second, although technological progress means that society may produce more wealth overall, there is a risk that the general-purpose nature of LLMs may lead to progress that is biased against labor, meaning that the share of that wealth that goes to labor may decline...Third, if future LLMs and robots advance to the point where they can perform virtually all the work tasks, they would disrupt labor markets more fundamentally: if machines can do workers’ jobs, wages would fall would disrupt labor markets more fundamentally: if machines can do workers’ jobs, wages would fall to machines’ user cost (Korinek and Juelfs, 2023). This would pose fundamental challenges for labor markets and income distribution (Korinek, 2023)."

Domain6. Socioeconomic and Environmental
Subdomain6.2 > Increased inequality and decline in employment quality
Entity3 - Other
Intent2 - Unintentional
Timing2 - Post-deployment
CategorySocioeconomic Impacts of LLM May Be Highly Disruptive
SubcategoryEffects on the Workforce

Suggested mitigations

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

Source

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