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Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma
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Measuring Bias in AI Models: An Statistical Approach Introducing N-Sigma (2023)Measuring Bias in AI Models: An Statistic…InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics (2021)InsideBias: Measuring Bias in…Ethical machines: The human-centric use of artificial intelligence (2021)Ethical machines: The human-c…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Fairness in Machine Learning (2020)Fairness in Machine LearningDemographic Bias in Biometrics: A Survey on an Emerging Challenge (2020)Demographic Bias in Biometric…On the Fairness of Disentangled Representations (2019)On the Fairness of Disentangl…Machine behaviour (2019)Machine behaviourGender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Gender Shades: Intersectional…Fairness definitions explained (2018)Fairness definitions explainedMeasuring discrimination in algorithmic decision making (2017)Measuring discrimination in a…Equality of Opportunity in Supervised Learning (2016)Equality of Opportunity in Su…Discrimination-aware data mining (2008)Fairness through awareness (2012)Big Data's Disparate Impact (2014)Model Cards for Model Reporting (2019)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Algorithmic Bias in Education (2021)The Statistical Theory of Racism and Sexism. (1972)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)The Black Box Society (2015)Investigating Bias and Fairness in Facial Expression Recognition (2020)Trustworthy AI: From Principles to Practices (2022)Navigating and reviewing ethical dilemmas in AI development: Strategies for transparency, fairness, and accountability (2024)Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings (2019)Fair Voice Biometrics: Impact of Demographic Imbalance on Group Fairness in Speaker Recognition (2021)Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search (2022)There is an elephant in the room: towards a critique on the use of fairness in biometrics (2022)Judgment under Uncertainty: Heuristics and Biases (1974)Anarchy, State, and Utopia (1975)Judgment under Uncertainty: Heuristics and Biases (1975)Human-Centered Artificial Intelligence: The Superlative Approach to Achieve Sustainable Development Goals in the Fourth Industrial Revolution (2022)AI ‐Mediated Communication in EFL Classrooms: The Role of Technical and Pedagogical Stimuli and the Mediating Effects of AI Literacy and Enjoyment (2024)Experimental evidence of massive-scale emotional contagion through social networks (2014)The science of fake news (2018)The spread of true and false news online (2018)How artificial intelligence will change the future of marketing (2019)Artificial Intelligence and Management: The Automation-Augmentation Paradox (2020)Human Trust in Artificial Intelligence: Review of Empirical Research (2020)Bias in data‐driven artificial intelligence systems—An introductory survey (2020)A Review on Fairness in Machine Learning (2022)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)What is AI Literacy? Competencies and Design Considerations (2020)50 Years of Test (Un)fairness (2019)Re-imagining Algorithmic Fairness in India and Beyond (2021)Algorithmic fairness in artificial intelligence for medicine and healthcare (2023)
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References

  • 2021A Survey on Bias and Fairness in Machine Learning6,499 cited
  • 2018Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification3,544 cited
  • 2016Equality of Opportunity in Supervised Learning2,733 cited
  • 2019Machine behaviour1,459 cited
  • 2018Fairness definitions explained1,133 cited
  • 2020Fairness in Machine Learning299 cited
  • 2017Measuring discrimination in algorithmic decision making273 cited
  • 2020Demographic Bias in Biometrics: A Survey on an Emerging Challenge263 cited
  • 2021Ethical machines: The human-centric use of artificial intelligence149 cited
  • 2021InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics73 cited
  • 2019On the Fairness of Disentangled Representations55 cited

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