- Challenges as catalysts: how Waymo’s Open Dataset Challenges shape AI development.Sam Hind, Fernando N. van der Vlist & Max Kanderske - forthcoming - AI and Society:1-17.details
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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).details
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Think Differently We Must! An AI Manifesto for the Future.Emma Dahlin - forthcoming - AI and Society:1-4.details
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Productive myopia: Racialized organizations and edtech.Roderic Crooks - 2021 - Big Data and Society 8 (2).details
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The ethnographer and the algorithm: beyond the black box.Angèle Christin - 2020 - Theory and Society 49 (5-6):897-918.details
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Acting like an algorithm: digital farming platforms and the trajectories they (need not) lock-in.Michael Carolan - 2020 - Agriculture and Human Values 37 (4):1041-1053.details
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Occluded algorithms.Adam Burke - 2019 - Big Data and Society 6 (2).details
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How should we theorize algorithms? Five ideal types in analyzing algorithmic normativities.Lotta Björklund Larsen & Francis Lee - 2019 - Big Data and Society 6 (2).details
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Listening without ears: Artificial intelligence in audio mastering.Thomas Birtchnell - 2018 - Big Data and Society 5 (2).details
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Bored Techies Being Casually Racist: Race as Algorithm.Sareeta Amrute - 2020 - Science, Technology, and Human Values 45 (5):903-933.details
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Politics of data reuse in machine learning systems: Theorizing reuse entanglements.Louise Amoore, Mikkel Flyverbom, Kristian Bondo Hansen & Nanna Bonde Thylstrup - 2022 - Big Data and Society 9 (2).details
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Algorithmic reparation.Michael W. Yang, Apryl Williams & Jenny L. Davis - 2021 - Big Data and Society 8 (2).details
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“We called that a behavior”: The making of institutional data.Madisson Whitman - 2020 - Big Data and Society 7 (1).details
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The Digital Architecture of Time Management.Judy Wajcman - 2019 - Science, Technology, and Human Values 44 (2):315-337.details
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Seeing like an algorithm: operative images and emergent subjects.Rebecca Uliasz - forthcoming - AI and Society:1-9.details
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Assemblage thinking as a methodology for studying urban AI phenomena.Yu-Shan Tseng - 2023 - AI and Society 38 (3):1099-1110.details
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Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns.Aurelia Tamò-Larrieux, Christoph Lutz, Eduard Fosch Villaronga & Heike Felzmann - 2019 - Big Data and Society 6 (1).details
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The fabrics of machine moderation: Studying the technical, normative, and organizational structure of Perspective API.Yarden Skop & Bernhard Rieder - 2021 - Big Data and Society 8 (2).details
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Folk theories of algorithmic recommendations on Spotify: Enacting data assemblages in the global South.Mónica Sancho, Ricardo Solís, Andrés Segura-Castillo & Ignacio Siles - 2020 - Big Data and Society 7 (1).details
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Entre filtros e bolhas.Ramon Davi Santana & Barbara Coelho Neves - 2022 - Logeion Filosofia da Informação 8 (2):47-64.details
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“The revolution will not be supervised”: Consent and open secrets in data science.Abibat Rahman-Davies, Madison W. Green & Coleen Carrigan - 2021 - Big Data and Society 8 (2).details
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Psychoanalyzing artificial intelligence: the case of Replika.Luca M. Possati - 2023 - AI and Society 38 (4):1725-1738.details
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Reading datasets: Strategies for interpreting the politics of data signification.Lindsay Poirier - 2021 - Big Data and Society 8 (2).details
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Political machines: a framework for studying politics in social machines.Orestis Papakyriakopoulos - 2022 - AI and Society 37 (1):113-130.details
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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.details
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On the Ethics of Biodiversity Models, Forecasts and Scenarios.Pierre Mazzega - 2018 - Asian Bioethics Review 10 (4):295-312.details
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Ethical Implications and Accountability of Algorithms.Kirsten Martin - 2018 - Journal of Business Ethics 160 (4):835-850.details
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Platform Seeing: Image Ensembles and Their Invisualities.Adrian MacKenzie & Anna Munster - 2019 - Theory, Culture and Society 36 (5):3-22.details
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The paradoxical transparency of opaque machine learning.Felix Tun Han Lo - forthcoming - AI and Society:1-13.details
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Seeing Like a State, Enacting Like an Algorithm: (Re)assembling Contact Tracing and Risk Assessment during the COVID-19 Pandemic.Chuncheng Liu - 2022 - Science, Technology, and Human Values 47 (4):698-725.details
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The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity.Ulrich Leicht-Deobald, Thorsten Busch, Christoph Schank, Antoinette Weibel, Simon Schafheitle, Isabelle Wildhaber & Gabriel Kasper - 2019 - Journal of Business Ethics 160 (2):377-392.details
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The person of the category: the pricing of risk and the politics of classification in insurance and credit.Greta R. Krippner & Daniel Hirschman - 2022 - Theory and Society 51 (5):685-727.details
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Who Gets to Choose? On the Socio-algorithmic Construction of Choice.Dan M. Kotliar - 2021 - Science, Technology, and Human Values 46 (2):346-375.details
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Mass personalization: Predictive marketing algorithms and the reshaping of consumer knowledge.Baptiste Kotras - 2020 - Big Data and Society 7 (2).details
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Data orientalism: on the algorithmic construction of the non-Western other.Dan M. Kotliar - 2020 - Theory and Society 49 (5-6):919-939.details
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A Maussian bargain: Accumulation by gift in the digital economy.Daniel N. Kluttz & Marion Fourcade - 2020 - Big Data and Society 7 (1).details
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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).details
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Meditation Apps and the Promise of Attention by Design.Rebecca Jablonsky - 2022 - Science, Technology, and Human Values 47 (2):314-336.details
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Styles of Valuation: Algorithms and Agency in High-throughput Bioscience.Claes-Fredrik Helgesson & Francis Lee - 2020 - Science, Technology, and Human Values 45 (4):659-685.details
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Datafied knowledge production: Introduction to the special theme.Rasmus Helles, Mikkel Flyverbom & Nanna Bonde Thylstrup - 2019 - Big Data and Society 6 (2).details
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Making plant pathology algorithmically recognizable.Cornelius Heimstädt - 2023 - Agriculture and Human Values 40 (3):865-878.details
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The virtue of simplicity: On machine learning models in algorithmic trading.Kristian Bondo Hansen - 2020 - Big Data and Society 7 (1).details
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Model Talk: Calculative Cultures in Quantitative Finance.Kristian Bondo Hansen - 2021 - Science, Technology, and Human Values 46 (3):600-627.details
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Making sense of algorithms: Relational perception of contact tracing and risk assessment during COVID-19.Ross Graham & Chuncheng Liu - 2021 - Big Data and Society 8 (1).details
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Beyond opening up the black box: Investigating the role of algorithmic systems in Wikipedian organizational culture.R. Stuart Geiger - 2017 - Big Data and Society 4 (2).details
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Towards Transparency by Design for Artificial Intelligence.Heike Felzmann, Eduard Fosch-Villaronga, Christoph Lutz & Aurelia Tamò-Larrieux - 2020 - Science and Engineering Ethics 26 (6):3333-3361.details
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Algorithmic interpellation.Rosie DuBrin & Ashley E. Gorham - 2021 - Constellations 28 (2):176-191.details
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