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Ethics in the world of automated algorithmic decision-making – A Posthumanist perspective
16 references·1 citing·42 second hop
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Evaluating public perception on the importance of ethical design principles of artificial intelligence (2022)Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature (2022)Justice and the Environment (1998)ON THE COLONIALITY OF BEING (2007)Communication, Organizing and Organization: An Overview and Introduction to the Special Issue (2011)Making knowledge the basis of a dynamic theory of the firm (1996)Unsettling the Coloniality of Being/Power/Truth/Freedom: Towards the Human, After Man, Its Overrepresentation--An Argument (2003)The Politics and Poetics of Infrastructure (2013)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)A Survey on Bias and Fairness in Machine Learning (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)
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References

  • 1994We have never been modern9,294 cited
  • 2007Meeting the Universe Halfway: Quantum Physics and the Entanglement of Matter and Meaning7,214 cited
  • 2003Posthumanist Performativity: Toward an Understanding of How Matter Comes to Matter7,050 cited
  • 2011Totality and Infinity: An Essay on Exteriority4,400 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,509 cited
  • 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor3,279 cited
  • 2017Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy3,071 cited
  • 200810 Sociomateriality: Challenging the Separation of Technology, Work and Organization2,566 cited
  • 2009The sociomateriality of organisational life: considering technology in management research964 cited
  • 2020Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development509 cited
  • 2020Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency475 cited
  • 2022Human–AI Interactions in Public Sector Decision Making: “Automation Bias” and “Selective Adherence” to Algorithmic Advice462 cited
  • 2022An artificial intelligence algorithmic approach to ethical decision-making in human resource management processes452 cited

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2023
Ethics and discrimination in artificial intelligence-enabled recruitment practices
447 cited
  • 2024Transparency and accountability in AI systems: safeguarding wellbeing in the age of algorithmic decision-making443 cited
  • 2022Thinking responsibly about responsible AI and ‘the dark side’ of AI431 cited
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    • 2025Is There Fairness in AI?14 cited