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Actionable Auditing Revisited
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Actionable Auditing Revisited (2022)Actionable Auditing RevisitedSaving Face (2020)Saving FaceClosing the AI accountability gap (2020)Closing the AI accountability…Actionable Auditing (2019)Actionable Auditing“Be Careful; Things Can Be Worse than They Appear”: Understanding Biased Algorithms and Users’ Behavior Around Them in Rating Platforms (2017)“Be Careful; Things Can Be Wo…Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics (1998)Demarginalizing the Intersect…Fairness and bias in AI: a sociotechnical perspective (2025)Fairness and bias in AI: a so…Artificial intelligence algorithm bias in information retrieval systems and its implication for library and information science professionals: A scoping review (2025)Artificial intelligence algor…The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment (2024)The Fall of an Algorithm: Cha…It's Complicated: The Social Lives of Networked Teens (2014)The Relevance of Algorithms (2014)Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment (2015)Algorithmic Anxiety and Coping Strategies of Airbnb Hosts (2018)Communicating Algorithmic Process in Online Behavioral Advertising (2018)Algorithmic Management and Algorithmic Competencies: Understanding and Appropriating Algorithms in Gig Work (2019)Accountability in algorithmic decision making (2016)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)Legal and human rights issues of AI: Gaps, challenges and vulnerabilities (2020)Roles for computing in social change (2020)Ethics of AI-Enabled Recruiting and Selection: A Review and Research Agenda (2022)PRODUCT DEVELOPMENT: PAST RESEARCH, PRESENT FINDINGS, AND FUTURE DIRECTIONS (1995)Model Cards for Model Reporting (2019)Bridging the Gap Between Ethics and Practice (2020)Trustworthy AI: From Principles to Practices (2022)Trustworthy Artificial Intelligence: A Review (2022)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Review of “Race After Technology: Abolitionist Tools for the New Jim Code” (2019)Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases (2021)Deep Learning for Micro-Expression Recognition: A Survey (2022)Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (2023)Using thematic analysis in psychology (2006)Fairness through awareness (2012)AI in the Nonprofit Human Services: Distinguishing Between Hype, Harm, and Hope (2024)PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation (2018)Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach (2018)A Survey on Bias and Fairness in Machine Learning (2021)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Intersectionality and why it matters to global health (2018)Exploratory Research (2020)Positionality practices and dimensions of impact on equity research: A collaborative inquiry and call to the community (2021)
this work references cited by second hop

References

  • 1998Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics5,673 cited
  • 2020Closing the AI accountability gap1,445 cited
  • 2019Actionable Auditing650 cited
  • 2020Saving Face298 cited
  • 2017“Be Careful; Things Can Be Worse than They Appear”: Understanding Biased Algorithms and Users’ Behavior Around Them in Rating Platforms92 cited

Cited by

  • 2025Artificial intelligence algorithm bias in information retrieval systems and its implication for library and information science professionals: A scoping review22 cited
  • 2024The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment19 cited
  • 2025Fairness and bias in AI: a sociotechnical perspective16 cited

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