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Deep learning and principal–agent problems of algorithmic governance: The new materialism perspective
16 references·5 citing·38 second hop
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References

  • 1983The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields38,372 cited
  • 1985Economic Action and Social Structure: The Problem of Embeddedness28,713 cited
  • 2004The iron cage revisited institutional isomorphism and collective rationality in organizational fields25,805 cited
  • 1989A Thousand Plateaus: Capitalism and Schizophrenia22,694 cited
  • 1975How To Do Things With Words21,513 cited
  • 1986Laboratory Life: The Construction of Scientific Facts7,544 cited
  • 1997Excitable Speech: A Politics of the Performative6,417 cited
  • 1993Science for the post-normal age4,336 cited
  • 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor3,279 cited
  • 1999Code and Other Laws of Cyberspace3,258 cited
  • 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
  • 2019The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power2,638 cited
  • 1975Markets and hierarchies, analysis and antitrust implications : a study in the economics of internal organization2,442 cited
  • 2016Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy2,335 cited
  • 2015

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Superintelligence: paths, dangers, strategies
1,979 cited
  • 1999Ontological Politics. A Word and Some Questions1,764 cited
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    • 2024Digitalization, Cultural Production, Exchange, and Consumption4 cited