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  1. Understanding digital sweatshops: A qualitative investigation of workers’ perspectives.Manoj Kumar Kamila, Sahil Singh Jasrotia & Pooja Singh Kushwaha - 2024 - Asian Journal of Business Ethics 13 (2):435-459.
    Digital sweatshops represent exploitative digital workplaces where individuals are compelled to work long hours under high demands for minimal compensation. This study employs in-depth, semi-structured interviews with digital workers to explore digital sweatshop operations’ challenges and adverse aspects, mainly focusing on ethical considerations. The collected data were transcribed and analyzed using grounded theory methodology. The findings highlight three key themes: conditions mitigating factors, organisational factors, and work environment factors, all of which contribute to the persistence of digital sweatshops. The study (...)
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  • The Ethics of AI Ethics: An Evaluation of Guidelines.Thilo Hagendorff - 2020 - Minds and Machines 30 (1):99-120.
    Current advances in research, development and application of artificial intelligence systems have yielded a far-reaching discourse on AI ethics. In consequence, a number of ethics guidelines have been released in recent years. These guidelines comprise normative principles and recommendations aimed to harness the “disruptive” potentials of new AI technologies. Designed as a semi-systematic evaluation, this paper analyzes and compares 22 guidelines, highlighting overlaps but also omissions. As a result, I give a detailed overview of the field of AI ethics. Finally, (...)
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  • Artificial Intelligence in the Colonial Matrix of Power.James Muldoon & Boxi A. Wu - 2023 - Philosophy and Technology 36 (4):1-24.
    Drawing on the analytic of the “colonial matrix of power” developed by Aníbal Quijano within the Latin American modernity/coloniality research program, this article theorises how a system of coloniality underpins the structuring logic of artificial intelligence (AI) systems. We develop a framework for critiquing the regimes of global labour exploitation and knowledge extraction that are rendered invisible through discourses of the purported universality and objectivity of AI. ​​Through bringing the political economy literature on AI production into conversation with scholarly work (...)
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