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A Sociotechnical Audit: Assessing Police Use of Facial Recognition
16 references·1 citing·49 second hop
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(1938)Experience and Education (1986)The System of Professions: An Essay on the Division of Expert Labor. (1990)The Platform Society (2018)Algorithms at Work: The New Contested Terrain of Control (2019)From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (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)Big Data's Disparate Impact (2014)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Semantics derived automatically from language corpora contain human-like biases (2017)Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence (2020)Addressing bias in big data and AI for health care: A call for open science (2021)Algorithmic Bias in Education (2021)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)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics (1998)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)Problems of Dostoevsky's Poetics (1984)Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment. (1992)Power to the People? Opportunities and Challenges for Participatory AI (2022)Ethical principles for artificial intelligence in K-12 education (2023)Reflexivity in quantitative research: A rationale and beginner's guide (2023)Discipline and Punish: The Birth of the Prison. (1996)AI and the transformation of social science research (2023)Bias and Fairness in Large Language Models: A Survey (2024)Can Generative AI improve social science? (2024)Toward an adequate taxonomy of personality attributes: Replicated factor structure in peer nomination personality ratings. (1963)Certifying and Removing Disparate Impact (2015)Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development (2020)A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)Fairness in Machine Learning: A Survey (2023)Data Feminism (2020)What Do Platforms Do? Understanding the Gig Economy (2020)
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References

  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2020Race after technology. Abolitionist tools for the new Jim Code1,870 cited
  • 2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability1,828 cited
  • 2020Closing the AI accountability gap1,445 cited
  • 2020Mitigating bias in algorithmic hiring830 cited
  • 2013Discrimination in online ad delivery751 cited
  • 2022Taxonomy of Risks posed by Language Models750 cited
  • 2021Algorithmic injustice: a relational ethics approach705 cited
  • 2019Actionable Auditing650 cited
  • 2020Saving Face298 cited
  • 2020Don’t ask if artificial intelligence is good or fair, ask how it shifts power212 cited
  • 2019What Does It Mean to ‘Solve’ the Problem of Discrimination in Hiring?197 cited
  • 2022Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem195 cited
  • 2021Problematic Machine Behavior193 cited
  • 2018Layers of Bias: A Unified Approach for Understanding Problems With Risk Assessment155 cited
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2022 ACM Conference on Fairness Accountability and Transparency
146 cited

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  • 2024Facial recognition technology: regulations, rights and the rule of law16 cited