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Public Health Calls for/with AI: An Ethnographic Perspective
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Public Health Calls for/with AI: An Ethnographic Perspective (2023)Public Health Calls for/with AI: An Ethno…Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support (2022)Improving Human-AI Partnershi…Who Is Included in Human Perceptions of AI?: Trust and Perceived Fairness around Healthcare AI and Cultural Mistrust (2021)Who Is Included in Human Perc…Re-imagining Algorithmic Fairness in India and Beyond (2021)Re-imagining Algorithmic Fair…Fairness, Equality, and Power in Algorithmic Decision-Making (2021)Fairness, Equality, and Power…A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)A Framework of Potential Sour…Roles for computing in social change (2020)Roles for computing in social…Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy (2020)Human-Centered Artificial Int…Conceptual Metaphors Impact Perceptions of Human-AI Collaboration (2020)Conceptual Metaphors Impact P…Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI (2020)Co-Designing Checklists to Un…Toward Algorithmic Accountability in Public Services (2019)Toward Algorithmic Accountabi…Improving Fairness in Machine Learning Systems (2019)Improving Fairness in Machine…Human-AI Collaboration in Data Science (2019)Human-AI Collaboration in Dat…Disparate Interactions (2019)Disparate InteractionsTrust in Data Science (2018)Trust in Data ScienceFairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making (2018)Fairness and Accountability D…Design-Based Implementation Research: An Emerging Model for Transforming the Relationship of Research and Practice (2013)Design-Based Implementation R…Insights into suggested Responsible AI (RAI) practices in real-world settings: a systematic literature review (2025)Insights into suggested Respo…Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention (2024)Understanding the Impact of L…Fairness through awareness (2012)Big Data's Disparate Impact (2014)Do Artifacts Have Politics? (2017)AI adoption and diffusion in public administration: A systematic literature review and future research agenda (2022)Towards a standard for identifying and managing bias in artificial intelligence (2022)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics (1998)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics [1989] (2018)Discrimination through Optimization (2019)Algorithmic bias: Senses, sources, solutions (2021)Trustworthy AI: A Computational Perspective (2022)The Black Box Society (2015)Model Cards for Model Reporting (2019)The ethnographer and the algorithm: beyond the black box (2020)Algorithmic fairness in education (2022)Inherent Tradeoffs in the Fair Determination of Risk Scores (2023)Ironies of automation (1983)A model for types and levels of human interaction with automation (2000)The use of maturity models/grids as a tool in assessing product development capability (2003)Bridging the Gap Between Ethics and Practice (2020)A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI Perspective (2022)The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust (2022)Basics of Qualitative Research: Grounded Theory Procedures and Techniques. (1992)The ethics of algorithms: Mapping the debate (2016)The global landscape of AI ethics guidelines (2019)Where Responsible AI meets Reality (2021)Artificial intelligence governance: Ethical considerations and implications for social responsibility (2023)Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (2023)The Wretched of the Earth (2000)A General Inductive Approach for Analyzing Qualitative Evaluation Data (2006)Societal Biases in Language Generation: Progress and Challenges (2021)Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support (2022)Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches (2022)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)A Survey on Bias and Fairness in Machine Learning (2021)Humans inherit artificial intelligence biases (2023)Data science and prediction (2013)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)From Human-Human Collaboration to Human-AI Collaboration (2020)"An Ideal Human" (2021)What is Human-Centered about Human-Centered AI? A Map of the Research Landscape (2023)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Algorithmic bias: review, synthesis, and future research directions (2021)Taxonomy of Risks posed by Language Models (2022)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Five Misunderstandings About Case-Study Research (2004)Getting Ideas into Action: Building Networked Improvement Communities in Education (2011)Organizing Research and Development at the Intersection of Learning, Implementation, and Design (2011)2014 AERA Distinguished Lecture (2015)A complex dynamic systems perspective on identity and its development: The dynamic systems model of role identity. (2017)Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies (2021)
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References

  • 2020Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy1,724 cited
  • 2019Improving Fairness in Machine Learning Systems776 cited
  • 2021A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle573 cited
  • 2018Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making491 cited
  • 2020Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI435 cited
  • 2013Design-Based Implementation Research: An Emerging Model for Transforming the Relationship of Research and Practice419 cited
  • 2019Human-AI Collaboration in Data Science342 cited
  • 2020Roles for computing in social change319 cited
  • 2019Disparate Interactions275 cited
  • 2021Re-imagining Algorithmic Fairness in India and Beyond228 cited
  • 2018Trust in Data Science222 cited
  • 2019Toward Algorithmic Accountability in Public Services205 cited
  • 2020Conceptual Metaphors Impact Perceptions of Human-AI Collaboration183 cited
  • 2021Fairness, Equality, and Power in Algorithmic Decision-Making149 cited
  • 2021Who Is Included in Human Perceptions of AI?: Trust and Perceived Fairness around Healthcare AI and Cultural Mistrust

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145 cited
  • 2022Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support142 cited
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    • 2024Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention73 cited
    • 2025Insights into suggested Responsible AI (RAI) practices in real-world settings: a systematic literature review19 cited