Effects on the Workforce
Social and economic inequalities caused by widespread use of AI, such as by automating jobs, reducing the quality of employment, or producing exploitative dependencies between workers and their employers.
"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)."(p. 93)
Supporting Evidence (2)
"Aside from their effects on incomes, the rapid advances in LLMs also risk reducing job quality. Au- tomation often tends to increase not only the physical but also the emotional demands put on workers, exposing them to greater surveillance, higher job intensity, and less human agency (Bell, 2022). These trends have already been observed in the increase of digital labour (Casilli and Posada, 2019) and the platformization of labour more generally (Nyabola, 2023); as LLMs become more widely applied they could exacerbate these trends."(p. 93)
"More fundamentally, work is not only the main source of income for the majority of people, but also the main activity that occupies our time. As a result, many derive a significant part of our identity, life satisfaction, and meaning from work (Susskind, 2023). If people lose their work, they would thus lose much more than their income, with broad implications for our society and our political system (Bell and Korinek, 2023)."(p. 93)
Part of Vulnerability to Poisoning and Backdoors
Other risks from Anwar et al. (2024) (26)
Agentic LLMs Pose Novel Risks
7.2 AI possessing dangerous capabilitiesMulti-Agent Safety Is Not Assured by Single-Agent Safety
7.6 Multi-agent risksDual-Use Capabilities Enable Malicious Use and Misuse of LLMs
4.0 Malicious Actors & MisuseCorporate power may impeded effective governance
6.1 Power centralization and unfair distribution of benefitsJailbreaks and Prompt Injections Threaten Security of LLMs
2.2 AI system security vulnerabilities and attacksVulnerability to Poisoning and Backdoors
2.2 AI system security vulnerabilities and attacks