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Predictive privacy: Collective data protection in the context of artificial intelligence and big data
9 references·5 citing·48 second hop
Predictive privacy: Collective data protection in the context of artificial intelligence and big data (2023)Predictive privacy: Collective data prote…Privacy and Manipulation in the Digital Age (2019)Privacy and Manipulation in t…Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)Automating Inequality: How Hi…Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Weapons of Math Destruction: …Group Privacy: New Challenges of Data Technologies (2017)Group Privacy: New Challenges…From Individual to Group Privacy in Big Data Analytics (2017)From Individual to Group Priv…Personal data for decisional purposes in the age of analytics: From an individual to a collective dimension of data protection (2016)Personal data for decisional …‘Hypernudge’: Big Data as a mode of regulation by design (2016)‘Hypernudge’: Big Data as a m…Open Data, Data Protection, and Group Privacy (2014)Open Data, Data Protection, a…Private traits and attributes are predictable from digital records of human behavior (2013)Private traits and attributes…Whose victory? A perspective on shifts in US-China cross-border data flow rules in the AI era (2025)Whose victory? A perspective …Generative AI risks and resilience: How users adapt to hallucination and privacy challenges (2025)Generative AI risks and resil…Generative AI and data protection (2025)Generative AI and data protec…Artificial intelligence and innovation capability: A dynamic capabilities perspective (2025)Artificial intelligence and i…AILIS 1.0: A new framework to measure AI literacy in library and information science (LIS) (2025)AILIS 1.0: A new framework to…8. 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The Right to Privacy (1890)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)The ethics of algorithms: Mapping the debate (2016)Integrating Ethics within Machine Learning Courses (2019)Discrimination in the age of artificial intelligence (2021)Predictive privacy: towards an applied ethics of data analytics (2021)Risk, Uncertainty and Profit (1921)The Poverty of Historicism. (1959)Measures of Racism, Sexism, Heterosexism, and Gender Binarism for Health Equity Research: From Structural Injustice to Embodied Harm—An Ecosocial Analysis (2019)A Survey on Automated Fact-Checking (2022)Fairness in Machine Learning: A Survey (2023)Dilemmas in a general theory of planning (1973)Fairness and Abstraction in Sociotechnical Systems (2019)What Do Platforms Do? Understanding the Gig Economy (2020)Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance (2007)Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance (2021)Artificial intelligence, firm growth, and product innovation (2023)Addressing student use of generative AI in schools and universities through academic integrity reporting (2025)Applications and Competitive Advantages of Data Mining and Business Intelligence in SMEs Performance: A Systematic Review (2025)Artificial Intelligence and Green Collaborative Innovation: An Empirical Investigation Based on a High-Dimensional Fixed Effects Model (2025)Promises and Pitfalls of Using Digital Traces for Demographic Research (2018)Artificial intelligence in support of the circular economy: ethical considerations and a path forward (2022)Mission AI (2023)The chilling effects of algorithmic profiling: Mapping the issues (2019)Thinking Outside the Black-Box: The Case for “Algorithmic Sovereignty” in Social Media (2020)(Online) manipulation: sometimes hidden, always careless (2021)
this work references cited by second hop

References

  • 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor3,279 cited
  • 2013Private traits and attributes are predictable from digital records of human behavior2,827 cited
  • 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy1,058 cited
  • 2016‘Hypernudge’: Big Data as a mode of regulation by design857 cited
  • 2017From Individual to Group Privacy in Big Data Analytics184 cited
  • 2017Group Privacy: New Challenges of Data Technologies178 cited
  • 2014Open Data, Data Protection, and Group Privacy175 cited
  • 2016Personal data for decisional purposes in the age of analytics: From an individual to a collective dimension of data protection150 cited
  • 2019Privacy and Manipulation in the Digital Age97 cited

Cited by

  • 2025Artificial intelligence and innovation capability: A dynamic capabilities perspective149 cited
  • 2025Generative AI risks and resilience: How users adapt to hallucination and privacy challenges41 cited
  • 2025Generative AI and data protection16 cited
  • 2025AILIS 1.0: A new framework to measure AI literacy in library and information science (LIS)13 cited
  • 2025Whose victory? A perspective on shifts in US-China cross-border data flow rules in the AI era9 cited

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