4 found
Order:
  1.  10
    Algorithmic Management in a Work Context.Will Sutherland, Eliscia Kinder, Christine T. Wolf, Min Kyung Lee, Gemma Newlands & Mohammad Hossein Jarrahi - 2021 - Big Data and Society 8 (2).
    The rapid development of machine-learning algorithms, which underpin contemporary artificial intelligence systems, has created new opportunities for the automation of work processes and management functions. While algorithmic management has been observed primarily within the platform-mediated gig economy, its transformative reach and consequences are also spreading to more standard work settings. Exploring algorithmic management as a sociotechnical concept, which reflects both technological infrastructures and organizational choices, we discuss how algorithmic management may influence existing power and social structures within organizations. We identify (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   3 citations  
  2.  8
    Innovation Under Pressure: Implications for Data Privacy During the Covid-19 Pandemic.Gil Scheitlin, Rehana Harasgama, Eduard Fosch Villaronga, Aurelia Tamò-Larrieux, Christoph Lutz & Gemma Newlands - 2020 - Big Data and Society 7 (2).
    The global Covid-19 pandemic has resulted in social and economic disruption unprecedented in the modern era. Many countries have introduced severe measures to contain the virus, including travel restrictions, public event bans, non-essential business closures and remote work policies. While digital technologies help governments and organizations to enforce protection measures, such as contact tracing, their rushed deployment and adoption also raises profound concerns about surveillance, privacy and data protection. This article presents two critical cases on digital surveillance technologies implemented during (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   1 citation  
  3. Lifting the Curtain: Strategic Visibility of Human Labour in AI-as-a-Service.Gemma Newlands - 2021 - Big Data and Society 8 (1).
    Artificial Intelligence-as-a-Service empowers individuals and organisations to access AI on-demand, in either tailored or ‘off-the-shelf’ forms. However, institutional separation between development, training and deployment can lead to critical opacities, such as obscuring the level of human effort necessary to produce and train AI services. Information about how, where, and for whom AI services have been produced are valuable secrets, which vendors strategically disclose to clients depending on commercial interests. This article provides a critical analysis of how AIaaS vendors manipulate the (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark  
  4.  14
    Trading on the Unknown: Scenarios for the Future Value of Data.Christian Fieseler, Christoph Lutz & Gemma Newlands - 2019 - The Law and Ethics of Human Rights 13 (1):97-114.
    In this Article, we explore the practices of extensive data collection among sharing economy platforms, highlighting how the unknown future value of big data creates an ethical problem for a fair exchange relationship between companies and users. Specifically, we present a typology with four scenarios related to the future value of data. In the remainder of the Article, we first describe the status quo of data collection practices in the sharing economy, followed by a discussion of the value-generating affordances of (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark