Refugees in the Kakuma camp in Kenya are performing tasks for tech companies, including using AI tools like ChatGPT for research and translation. One refugee, Grace, used ChatGPT to translate Christian hymns for AOP Connect, a crowdsourced research platform owned by British AI enterprise software company RWS. This work involves researching details like translators, authors, and denominations based on the AI-generated translations.
Compensation for this work is increasingly moving away from guaranteed wages towards discretionary rewards. RWS documents indicate that workers could receive up to $500 as a 'discretionary reward' if their work meets quality criteria. However, refugees are not guaranteed wages, and many earn significantly less than the maximum without clear explanations, according to Asha Luka Abdallah of the Solidarity Initiative for Refugees (SIR).
Interviews with over two dozen refugees reveal that while tech companies benefit from cheap labor to build powerful AI tools, the refugees' pay, which was already low, is diminishing. The shrinking number of opportunities forces some to accept potential 'rewards' over guaranteed wages. Bahana Hydrogene, who established SIR's digital skills programs, highlighted the opaque arrangements and lack of transparent answers from companies as a significant concern.
Remote jobs like content moderation and data annotation have been promoted by UN agencies and tech companies as mutually beneficial, offering income to refugees and cheap labor to companies. However, the current trend suggests that only tech companies are clearly benefiting, building AI datasets on the work of precarious workers in low-income countries.
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Refugees in Kenya's Kakuma camp are performing AI-related tasks for tech companies, often through platforms like AOP Connect, but are experiencing declining pay and a shift from guaranteed wages to discretionary rewards. This trend raises concerns about exploitation as tech companies benefit from cheap labor while refugees struggle with unstable income and lack of transparency.