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  1. Algorithmic reparation.Michael W. Yang, Apryl Williams & Jenny L. Davis - 2021 - Big Data and Society 8 (2).
    Machine learning algorithms pervade contemporary society. They are integral to social institutions, inform processes of governance, and animate the mundane technologies of daily life. Consistently, the outcomes of machine learning reflect, reproduce, and amplify structural inequalities. The field of fair machine learning has emerged in response, developing mathematical techniques that increase fairness based on anti-classification, classification parity, and calibration standards. In practice, these computational correctives invariably fall short, operating from an algorithmic idealism that does not, and cannot, address systemic, Intersectional (...)
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  • Algorithms as folding: Reframing the analytical focus.Robin Williams, Claes-Fredrik Helgesson, Lukas Engelmann, Jeffrey Christensen, Jess Bier & Francis Lee - 2019 - Big Data and Society 6 (2).
    This article proposes an analytical approach to algorithms that stresses operations of folding. The aim of this approach is to broaden the common analytical focus on algorithms as biased and opaque black boxes, and to instead highlight the many relations that algorithms are interwoven with. Our proposed approach thus highlights how algorithms fold heterogeneous things: data, methods and objects with multiple ethical and political effects. We exemplify the utility of our approach by proposing three specific operations of folding—proximation, universalisation and (...)
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  • Psychoanalyzing artificial intelligence: the case of Replika.Luca M. Possati - 2023 - AI and Society 38 (4):1725-1738.
    The central thesis of this paper is that human unconscious processes influence the behavior and design of artificial intelligence (AI). This thesis is discussed through the case study of a chatbot called Replika, which intends to provide psychological assistance and friendship but has been accused of inciting murder and suicide. Replika originated from a trauma and a work of mourning lived by its creator. The traces of these unconscious dynamics can be detected in the design of the app and the (...)
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  • “AI will fix this” – The Technical, Discursive, and Political Turn to AI in Governing Communication.Christian Katzenbach - 2021 - Big Data and Society 8 (2).
    Technologies of “artificial intelligence” and machine learning are increasingly presented as solutions to key problems of our societies. Companies are developing, investing in, and deploying machine learning applications at scale in order to filter and organize content, mediate transactions, and make sense of massive sets of data. At the same time, social and legal expectations are ambiguous, and the technical challenges are substantial. This is the introductory article to a special theme that addresses this turn to AI as a technical, (...)
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  • Algorithms as organizational figuration: The sociotechnical arrangements of a fintech start-up.Sine N. Just, Ib T. Gulbrandsen & Sara Dahlman - 2021 - Big Data and Society 8 (1).
    Building on critical approaches that understand algorithms in terms of communication, culture and organization, this paper offers the supplementary conceptualization of algorithms as organizational figuration, defined as material and meaningful sociotechnical arrangements that develop in spatiotemporal processes and are shaped by multiple enactments of affordance–agency relations. We develop this conceptualization through a case study of a Danish fintech start-up that uses machine learning to create opportunities for sustainable pensions investments. By way of ethnographic and literary methodology, we provide an in-depth (...)
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  • Why Personal Dreams Matter: How professionals affectively engage with the promises surrounding data-driven healthcare in Europe.Antoinette de Bont, Anne Marie Weggelaar-Jansen, Johanna Kostenzer, Rik Wehrens & Marthe Stevens - 2022 - Big Data and Society 9 (1).
    Recent buzzes around big data, data science and artificial intelligence portray a data-driven future for healthcare. As a response, Europe's key players have stimulated the use of big data technologies to make healthcare more efficient and effective. Critical Data Studies and Science and Technology Studies have developed many concepts to reflect on such overly positive narratives and conduct critical policy evaluations. In this study, we argue that there is also much to be learned from studying how professionals in the healthcare (...)
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  • Heritage transformations.Chiara Bonacchi - 2021 - Big Data and Society 8 (2).
    This special theme examines the dynamic relationships between production, availability, and usage of Big Data, laying out a research agenda for digital heritage at the time of the ‘data turn’. Over the past 15 years, a proliferation of heritage data has been generated by ‘ecosystems of distributed practices’ enacted by the co-working of bodies, cultural identities, organisational workflows, software, application programming interfaces, etc. The authors of research articles and commentaries in this collection explore the three macro-dimensions along which we can (...)
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  • Listening without ears: Artificial intelligence in audio mastering.Thomas Birtchnell - 2018 - Big Data and Society 5 (2).
    Since the inception of recorded music there has been a need for standards and reliability across sound formats and listening environments. The role of the audio mastering engineer is prestigious and akin to a craft expert combining scientific knowledge, musical learning, manual precision and skill, and an awareness of cultural fashions and creative labour. With the advent of algorithms, big data and machine learning, loosely termed artificial intelligence in this creative sector, there is now the possibility of automating human audio (...)
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  • Engaging Critically with Algorithms: Conceptual and Performative Interventions. [REVIEW]Nishtha Bharti - 2022 - Science, Technology, and Human Values 47 (4):833-851.
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