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  1. 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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  • It’s About Distributing Rather than Sharing: Using Labor Process Theory to Probe the “Sharing” Economy.Sunyu Chai & Maureen A. Scully - 2019 - Journal of Business Ethics 159 (4):943-960.
    The sharing economy has been examined from many angles, including the engagement of customers, the capabilities of the technological platforms, and the experiences of those who sell products or services. We focus on labor in the sharing economy. Labor has been regarded as one type of asset exchanged in the sharing economy, as part of the customer interface when services are sold, or as a party vulnerable to exploitation. We focus on labor as a position in relationship to owners of (...)
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  • A Virtue-Based Framework to Support Putting AI Ethics into Practice.Thilo Hagendorff - 2022 - Philosophy and Technology 35 (3):1-24.
    Many ethics initiatives have stipulated sets of principles and standards for good technology development in the AI sector. However, several AI ethics researchers have pointed out a lack of practical realization of these principles. Following that, AI ethics underwent a practical turn, but without deviating from the principled approach. This paper proposes a complementary to the principled approach that is based on virtue ethics. It defines four “basic AI virtues”, namely justice, honesty, responsibility and care, all of which represent specific (...)
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  • Algorithmic domination in the gig economy.James Muldoon & Paul Raekstad - 2023 - European Journal of Political Theory 22 (4):587-607.
    Digital platforms and application software have changed how people work in a range of industries. Empirical studies of the gig economy have raised concerns about new systems of algorithmic management exercised over workers and how these alter the structural conditions of their work. Drawing on the republican literature, we offer a theoretical account of algorithmic domination and a framework for understanding how it can be applied to ride hail and food delivery services in the on-demand economy. We argue that certain (...)
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  • Addressing labour exploitation in the data science pipeline: views of precarious US-based crowdworkers on adversarial and co-operative interventions.Jo Bates, Elli Gerakopoulou & Alessandro Checco - 2023 - Journal of Information, Communication and Ethics in Society 21 (3):342-357.
    Purpose Underlying much recent development in data science and artificial intelligence (AI) is a dependence on the labour of precarious crowdworkers via platforms such as Amazon Mechanical Turk. These platforms have been widely critiqued for their exploitative labour relations, and over recent years, there have been various efforts by academic researchers to develop interventions aimed at improving labour conditions. The aim of this paper is to explore US-based crowdworkers’ views on two proposed interventions: a browser plugin that detects automated quality (...)
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  • From human-centred to life-centred design: Considering environmental and ethical concerns in the design of interactive products.Madeleine Borthwick, Martin Tomitsch & Melinda Gaughwin - 2022 - Journal of Responsible Technology 10 (C):100032.
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  • The digital labor of ethical food consumption: a new research agenda for studying everyday food digitalization.Tanja Schneider & Karin Eli - 2023 - Agriculture and Human Values 40 (2):489-500.
    This paper explores how consumers’ ethical food consumption practices, mediated by mobile phone applications (apps), are transformed into digital data. Based on a review of studies on the digitalization of ethical consumption practices and food apps, we find that previous research, while valuable, fails to acknowledge and critically examine the digital labor required to perform digitalized ethical food consumption. In this paper, we call for research on how digital labor underlies the digitalization of ethical food consumption and develop a conceptual (...)
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