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From Plane Crashes to Algorithmic Harm: Applicability of Safety Engineering Frameworks for Responsible ML
16 references·3 citing·44 second hop
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References

  • 2019Reflecting on reflexive thematic analysis19,565 cited
  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2000Using Technology and Constituting Structures: A Practice Lens for Studying Technology in Organizations4,751 cited
  • 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
  • 2004States of Knowledge: The Co-production of Science and the Social Order2,942 cited
  • 2019Model Cards for Model Reporting2,653 cited
  • 2020Data Feminism1,734 cited
  • 2019Fairness and Abstraction in Sociotechnical Systems1,621 cited
  • 2012Engineering a safer world: systems thinking applied to safety1,566 cited
  • 2020Closing the AI accountability gap1,445 cited
  • 1996Bias in computer systems1,203 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited
  • 2010International Standards Organization1,071 cited
  • 2020Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence906 cited
  • 2019Improving Fairness in Machine Learning Systems776 cited
  • 2022Taxonomy of Risks posed by Language Models

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  • 2024The Role of Human-Centered AI in User Modeling, Adaptation, and Personalization—Models, Frameworks, and Paradigms26 cited
  • 2023What does it mean to be a responsible AI practitioner: An ontology of roles and skills24 cited
  • 2025Lessons from complex systems science for AI governance12 cited