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Interactions of Filipino platform workers with AI systems: implications for design and governance of labour platforms

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  • Soriano, Cheryll Ruth

Abstract

A crucial feature underpinning labour platforms that attract vast numbers of workers globally are artificial intelligence and algorithmic systems that perform labour management roles. Research in human-machine communication (HMC) suggests that technologies endowed with human social cues are perceived as distinct ‘social actors,’ evoking responses from users or prompting users to seek responses from them. Drawing from the perspectives of Filipino platform workers in the ride-hailing and delivery sectors that interact with AI systems, this commentary highlights key dimensions of daily communicative experiences between location-based platform workers and their apps that oscillate around the competing experiences of visibility and opacity, (dis)trust, and care and surveillance. I argue that workers’ experiences reflect their expectations of equitable and ‘humane’ labour management that yield important governance implications and call for rethinking the design of algorithms and artificial intelligence systems that underpin labour platforms.

Suggested Citation

  • Soriano, Cheryll Ruth, 2024. "Interactions of Filipino platform workers with AI systems: implications for design and governance of labour platforms," MediArXiv adeyt, Center for Open Science.
    • Handle: RePEc:osf:mediar:adeyt
    DOI: 10.31219/osf.io/adeyt
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    References listed on IDEAS

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    2. Chen, Xiaohui & Teng, Lei & Chen, Wen, 2022. "How does FinTech affect the development of the digital economy? Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
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