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Fairness-aware machine learning engineering: how far are we?
16 references·5 citing·38 second hop
Fairness-aware machine learning engineering: how far are we? (2023)Fairness-aware machine learning engineeri…Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods (2023)Bias and Unfairness in Machin…Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women * (2022)Amazon Scraps Secret AI Recru…A Review on Fairness in Machine Learning (2022)A Review on Fairness in Machi…Bias in machine learning software: why? how? what to do? (2021)Bias in machine learning soft…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Algorithmic Fairness: Choices, Assumptions, and Definitions (2020)Algorithmic Fairness: Choices…A snapshot of the frontiers of fairness in machine learning (2020)A snapshot of the frontiers o…Dissecting racial bias in an algorithm used to manage the health of populations (2019)Dissecting racial bias in an …Classification with Fairness Constraints (2019)Classification with Fairness …AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)AI Fairness 360: An extensibl…A comparative study of fairness-enhancing interventions in machine learning (2019)A comparative study of fairne…Mitigating Unwanted Biases with Adversarial Learning (2018)Mitigating Unwanted Biases wi…Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…A Companion to qualitative research (2005)A Companion to qualitative re…Electronic Survey Methodology: A Case Study in Reaching Hard-to-Involve Internet Users (2003)Electronic Survey Methodology…Estimating the Effect of Incentives on Mail Survey Response Rates: A Meta-Analysis (1993)Estimating the Effect of Ince…Fairness-aware practices from developers’ perspective: A survey (2025)Fairness-aware practices from…Exploring Metaverse Technologies in Entrepreneurship Through Machine Learning-Based Topic Modeling (2025)Exploring Metaverse Technolog…Data Quality in the Age of AI: A Review of Governance, Ethics, and the FAIR Principles (2025)Data Quality in the Age of AI…Artificial Intelligence-Based Models for Automated Bone Age Assessment from Posteroanterior Wrist X-Rays: A Systematic Review (2025)Artificial Intelligence-Based…Artificial intelligence in practice: Opportunities, challenges, and ethical considerations. (2024)Artificial intelligence in pr…Mail and Telephone Surveys: The Total Design Method. (1982)Statistical Methods for Meta-Analysis (1988)What (Not) to Expect When Surveying Executives (2006)Methodologies for Improving Response Rates in Surveys of Physicians (2007)The Use and Effects of Incentives in Surveys (2012)Methods of Meta-Analysis: Correcting Error and Bias in Research Findings (2015)Questionnaire Design, Interviewing and Attitude Measurement (1993)Self-reports: How the questions shape the answers. (1999)Web Surveys (2000)Examining Factors Impacting Online Survey Response Rates in Educational Research: Perceptions of Graduate Students (2017)Smart tourism technologies in travel planning: The role of exploration and exploitation (2017)Conducting Online Surveys (2019)Equality of Opportunity in Supervised Learning (2016)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Ensuring Fairness in Machine Learning to Advance Health Equity (2018)Language (Technology) is Power: A Critical Survey of “Bias” in NLP (2020)Addressing bias in big data and AI for health care: A call for open science (2021)Measuring individual differences in implicit cognition: The implicit association test. (1998)Fairness through awareness (2012)Big Data's Disparate Impact (2014)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Certifying and Removing Disparate Impact (2015)Bridging the Gap Between Ethics and Practice (2020)Trustworthy Artificial Intelligence: A Review (2022)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)A theory of justice original editionHealth Care Disparities (2003)Towards a standard for identifying and managing bias in artificial intelligence (2022)Fairness in Machine Learning: A Survey (2023)The qualitative interview in IS research: Examining the craft (2007)Using focus groups in medical education research: AMEE Guide No. 91 (2014)Exploring institutional drivers and barriers of the circular economy: A cross-regional comparison of China, the US, and Europe (2017)Ethics of AI in Education: Towards a Community-Wide Framework (2021)
this work references cited by second hop

References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
  • 2005A Companion to qualitative research1,578 cited
  • 2018Mitigating Unwanted Biases with Adversarial Learning1,387 cited
  • 2022Amazon Scraps Secret AI Recruiting Tool that Showed Bias against Women *1,165 cited
  • 2019AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias884 cited
  • 2003Electronic Survey Methodology: A Case Study in Reaching Hard-to-Involve Internet Users747 cited
  • 1993Estimating the Effect of Incentives on Mail Survey Response Rates: A Meta-Analysis704 cited
  • 2020Algorithmic Fairness: Choices, Assumptions, and Definitions687 cited
  • 2019A comparative study of fairness-enhancing interventions in machine learning601 cited
  • 2022A Review on Fairness in Machine Learning596 cited
  • 2020A snapshot of the frontiers of fairness in machine learning355 cited
  • 2023Bias and Unfairness in Machine Learning Models: A Systematic Review on Datasets, Tools, Fairness Metrics, and Identification and Mitigation Methods315 cited

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2019
Classification with Fairness Constraints
232 cited
  • 2021Bias in machine learning software: why? how? what to do?224 cited
  • Cited by

    • 2024Artificial intelligence in practice: Opportunities, challenges, and ethical considerations.37 cited
    • 2025Data Quality in the Age of AI: A Review of Governance, Ethics, and the FAIR Principles36 cited
    • 2025Fairness-aware practices from developers’ perspective: A survey18 cited
    • 2025Exploring Metaverse Technologies in Entrepreneurship Through Machine Learning-Based Topic Modeling17 cited
    • 2025Artificial Intelligence-Based Models for Automated Bone Age Assessment from Posteroanterior Wrist X-Rays: A Systematic Review12 cited