Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
Martin, Kirsten
2021.
Creating Accuracy and the Ethics of Predictive Analytics.
SSRN Electronic Journal ,
Balsa, Ero
Nissenbaum, Helen
and
Park, Sunoo
2022.
Cryptography, Trust and Privacy: It's Complicated.
p.
167.
Hull, Gordon
2022.
Dirty Data Labeled Dirt Cheap: Epistemic Injustice in Machine Learning Systems.
SSRN Electronic Journal ,
Vidrin, Ilya
2022.
Conceptualizing Care in Partnering.
Performance Research,
Vol. 27,
Issue. 6-7,
p.
26.
Gansky, Ben
and
McDonald, Sean
2022.
CounterFAccTual: How FAccT Undermines Its Organizing Principles.
p.
1982.
Villegas-Galaviz, Carolina
and
Martin, Kirsten
2022.
Moral Approaches to AI: Missing Power and Marginalized Stakeholders.
SSRN Electronic Journal ,
van Maanen, Gijs
2022.
AI Ethics, Ethics Washing, and the Need to Politicize Data Ethics.
Digital Society,
Vol. 1,
Issue. 2,
Guay, Rob
and
Birch, Kean
2022.
A comparative analysis of data governance: Socio-technical imaginaries of digital personal data in the USA and EU (2008–2016).
Big Data & Society,
Vol. 9,
Issue. 2,
Hull, Gordon
2023.
Dirty data labeled dirt cheap: epistemic injustice in machine learning systems.
Ethics and Information Technology,
Vol. 25,
Issue. 3,
Benthall, Sebastian
and
Shekman, David
2023.
Designing Fiduciary Artificial Intelligence.
p.
1.
Beaumier, Guillaume
2023.
Novelty and the demand for private regulation: Evidence from data privacy governance.
Business and Politics,
Vol. 25,
Issue. 4,
p.
371.
Septiandri, Ali Akbar
Constantinides, Marios
Tahaei, Mohammad
and
Quercia, Daniele
2023.
WEIRD FAccTs: How Western, Educated, Industrialized, Rich, and Democratic is FAccT?.
p.
160.
2023.
The Privacy Fallacy.
p.
173.
Asgarinia, Haleh
Chomczyk Penedo, Andres
Esteves, Beatriz
and
Lewis, Dave
2023.
“Who Should I Trust with My Data?” Ethical and Legal Challenges for Innovation in New Decentralized Data Management Technologies.
Information,
Vol. 14,
Issue. 7,
p.
351.
Martin, Kirsten
2023.
Predatory predictions and the ethics of predictive analytics.
Journal of the Association for Information Science and Technology,
Vol. 74,
Issue. 5,
p.
531.
Coche, Eugénie
Kolk, Ans
and
Ocelík, Václav
2024.
Unravelling cross-country regulatory intricacies of data governance: the relevance of legal insights for digitalization and international business.
Journal of International Business Policy,
Vol. 7,
Issue. 1,
p.
112.
Martin, Zelly
Montiel Valle, Dominique
and
Shorey, Samantha
2024.
My Data, My Choice? Privacy, Commodity Activism, and Big Tech’s Corporatization of Care in the Post-Roe Era.
Social Media + Society,
Vol. 10,
Issue. 3,
Löbel, Alexander
Schäfer, René
Püschel, Hanna
Güney, Esra
and
Meyer, Ulrike
2024.
Privacy Technologies and Policy.
Vol. 14831,
Issue. ,
p.
23.
Chiara, Pier Giorgio
2024.
The Internet of Things and EU Law.
Vol. 67,
Issue. ,
p.
149.
Hirsch, Dennis
Bartley, Timothy
Chandrasekaran, Aravind
Norris, Davon
Parthasarathy, Srinivasan
and
Turner, Piers Norris
2024.
Business Data Ethics.
p.
1.