Under-recognized work
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.
"Without training data, ML cannot take place. Much of this data comes from paid clickwork (also called “platform work” [170] or “microwork” [558]), unpaid crowdsourcing, and unpaid user behavior capture. Clickworkers, mainly in the global south, perform repetitive data-labeling tasks for use in the training of ML models [558]. The market value of such annotations “is projected to reach $13.7 billion by 2030” [228] and the annotation industry is widely reported to have little concern for workers’ rights. Besides welfare and rights, the invisibility of this contribution arguably contributes to a misunderstanding of AI capabilities.7"(p. 18)
Other risks from Leech et al. (2024) (13)
Harm caused by incompetent systems
7.3 Lack of capability or robustnessHarm caused by unaligned competent systems
7.1 AI pursuing its own goals in conflict with human goals or valuesHarm caused by unaligned competent systems > Specification gaming
7.1 AI pursuing its own goals in conflict with human goals or valuesHarm caused by unaligned competent systems > Emergent goals
7.1 AI pursuing its own goals in conflict with human goals or valuesHarm caused by unaligned competent systems > Deceptive alignment
7.2 AI possessing dangerous capabilitiesWithin-country issues: domestic inequality
6.1 Power centralization and unfair distribution of benefits