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Detecting racial bias in algorithms and machine learning
4 references·16 citing·49 second hop
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this work references cited by second hop

References

  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2016Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy2,335 cited
  • 2012Want to be on the top? Algorithmic power and the threat of invisibility on Facebook1,301 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,149 cited

Cited by

  • 2021Ethics-Based Auditing of Automated Decision-Making Systems: Nature, Scope, and Limitations220 cited
  • 2022Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms193 cited
  • 2023Artificial Intelligence and Economic Development: An Evolutionary Investigation and Systematic Review179 cited
  • 2022Allying with AI? Reactions toward human-based, AI/ML-based, and augmented hiring processes147 cited
  • 2021Discrimination in the age of artificial intelligence121 cited
  • 2021The Ethics of Algorithms: Key Problems and Solutions121 cited
  • 2019Artificial Intelligence for Law Enforcement: Challenges and Opportunities118 cited
  • 2022Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation115 cited
  • 2022Social equity in the data era: A systematic literature review of data‐driven public service research112 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2020
The Ethics of Algorithms: Key Problems and Solutions
101 cited
  • 2023Advancing algorithmic bias management capabilities in AI-driven marketing analytics research92 cited
  • 2021Disparate Impact of Artificial Intelligence Bias in Ridehailing Economy's Price Discrimination Algorithms83 cited
  • 2022Gender bias in AI-based decision-making systems: a systematic literature review75 cited
  • 2024Ethical artificial intelligence (AI): principles and practices64 cited
  • 2023A Review of Bias and Fairness in Artificial Intelligence.63 cited
  • 2024Implicit bias in large language models: Experimental proof and implications for education62 cited