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Using a Machine Learning Tool to Support High‐Stakes Decisions in Child Protection
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Using a Machine Learning Tool to Support High‐Stakes Decisions in Child Protection (2021)Using a Machine Learning Tool to Support …A Human-Centered Review of Algorithms used within the U.S. Child Welfare System (2020)A Human-Centered Review of Al…Toward Algorithmic Accountability in Public Services (2019)Toward Algorithmic Accountabi…Human‐centered artificial intelligence and machine learning (2019)Human‐centered artificial int…Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance (2019)Beyond Accuracy: The Role of …Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor (2018)Automating Inequality: How Hi…Predictive and prescriptive analytics, machine learning and child welfare risk assessment: The Broward County experience (2017)Predictive and prescriptive a…Human Decisions and Machine Predictions (2017)Human Decisions and Machine P…Human Decisions and Machine Predictions (2017)Human Decisions and Machine P…Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Fair Prediction with Disparat…Algorithmic Transparency for the Smart City (2017)Algorithmic Transparency for …Algorithmic Transparency for the Smart City (2017)Algorithmic Transparency for …Algorithmic Decision Making and the Cost of Fairness (2017)Algorithmic Decision Making a…Burden and consequences of child maltreatment in high-income countries (2008)Burden and consequences of ch…Toward an Ethics of AI Belief (2024)Toward an Ethics of AI BeliefChild abuse: Adolescent records vs. adult recall (1990)Relationship of Childhood Abuse and Household Dysfunction to Many of the Leading Causes of Death in Adults (1998)Meta-analysis of risk factors for posttraumatic stress disorder in trauma-exposed adults. (2000)The enduring effects of abuse and related adverse experiences in childhood (2005)The Long-Term Health Consequences of Child Physical Abuse, Emotional Abuse, and Neglect: A Systematic Review and Meta-Analysis (2012)The Prevalence of Child Maltreatment across the Globe: Review of a Series of Meta‐Analyses (2014)Fairness through awareness (2012)Equality of Opportunity in Supervised Learning (2016)Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Model Cards for Model Reporting (2019)A Survey on Bias and Fairness in Machine Learning (2021)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends? (1980)Resistance to Medical Artificial Intelligence (2019)Experimental evidence on the productivity effects of generative artificial intelligence (2023)The Economics of Discrimination. (1972)Big Data's Disparate Impact (2014)Machine behaviour (2019)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Salience Theory of Choice Under Risk (2012)Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err (2014)Dilemmas in a general theory of planning (1973)Street-Level Bureaucracy: Dilemmas of the Individual in Public Services (1981)Algorithms at Work: The New Contested Terrain of Control (2019)Fairness and Abstraction in Sociotechnical Systems (2019)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)On the dimensionality of organizational justice: A construct validation of a measure. (2001)Certifying and Removing Disparate Impact (2015)WeBuildAI (2019)Algorithmic bias: review, synthesis, and future research directions (2021)How to Evaluate Trust in AI-Assisted Decision Making? A Survey of Empirical Methodologies (2021)Trust in Automation: Designing for Appropriate Reliance (2004)Metaphor No More: A 15-Year Review of the Team Mental Model Construct (2010)“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI (2021)Human confidence in artificial intelligence and in themselves: The evolution and impact of confidence on adoption of AI advice (2021)Will Humans-in-the-Loop Become Borgs? Merits and Pitfalls of Working with AI (2021)Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns (2019)Where Platform Capitalism and Racial Capitalism Meet: The Sociology of Race and Racism in the Digital Society (2020)Governance of artificial intelligence (2021)What is AI Literacy? Competencies and Design Considerations (2020)Learning design to support student-AI collaboration: perspectives of leading teachers for AI in education (2022)Six Human-Centered Artificial Intelligence Grand Challenges (2023)
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References

  • 2008Burden and consequences of child maltreatment in high-income countries4,218 cited
  • 2018Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor3,318 cited
  • 2017Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments2,270 cited
  • 2017Algorithmic Decision Making and the Cost of Fairness1,170 cited
  • 2017Human Decisions and Machine Predictions1,150 cited
  • 2017Human Decisions and Machine Predictions591 cited
  • 2019Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance463 cited
  • 2019Human‐centered artificial intelligence and machine learning399 cited
  • 2019Toward Algorithmic Accountability in Public Services205 cited
  • 2017Algorithmic Transparency for the Smart City184 cited
  • 2020A Human-Centered Review of Algorithms used within the U.S. Child Welfare System116 cited
  • 2017Algorithmic Transparency for the Smart City61 cited
  • 2017Predictive and prescriptive analytics, machine learning and child welfare risk assessment: The Broward County experience54 cited

Cited by

  • 2024Toward an Ethics of AI Belief12 cited

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