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Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms
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Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms (2024)Fairness Hacking: The Malicious Practice …Introduction to Meta‐Analysis (2021)Introduction to Meta‐AnalysisA Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Model Cards for Model Reporting (2019)Model Cards for Model Reporti…Fairness and Abstraction in Sociotechnical Systems (2019)Fairness and Abstraction in S…AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias (2019)AI Fairness 360: An extensibl…Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)Inherent Trade-Offs in the Fa…The Extent and Consequences of P-Hacking in Science (2015)The Extent and Consequences o…Estimating the reproducibility of psychological science (2015)Estimating the reproducibilit…The New Statistics (2013)The New StatisticsUsing Effect Size—or Why the P Value Is Not Enough (2012)Using Effect Size—or Why the …Scientific Utopia (2012)Scientific UtopiaMeasuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling (2012)Measuring the Prevalence of Q…Introduction to Meta‐Analysis (2009)Introduction to Meta‐AnalysisWhy Most Published Research Findings Are False (2005)Why Most Published Research F…HARKing: Hypothesizing After the Results are Known (1998)HARKing: Hypothesizing After …Conducting Meta-Analyses in R with the metafor Package (2010)Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs (2013)1,500 scientists lift the lid on reproducibility (2016)Estimating Psychological Networks and their Accuracy: A Tutorial Paper (2016)Estimating psychological networks and their accuracy: A tutorial paper (2017)The case for motivated reasoning. (1990)False-Positive Psychology (2011)A manifesto for reproducible science (2017)Beyond significance testing: Reforming data analysis methods in behavioral research. (2004)An effect size primer: A guide for clinicians and researchers. (2009)An effect size primer: A guide for clinicians and researchers. (2015)Childhood adversity and adult depression: The protective role of psychological resilience (2017)Accuracy of Wristband Fitbit Models in Assessing Sleep: Systematic Review and Meta-Analysis (2019)Perceived social media marketing activities and consumer-based brand equity (2020)Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement (1999)Meta-analysis of Observational Studies in Epidemiology A Proposal for Reporting (2000)The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials (2001)Power failure: why small sample size undermines the reliability of neuroscience (2013)Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement (2015)Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory, and Antiracist Politics [1989] (2018)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Closing the AI accountability gap (2020)On the Opportunities and Risks of Foundation Models (2021)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Principles alone cannot guarantee ethical AI (2019)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)The Statistical Theory of Racism and Sexism. (1972)Fairness through awareness (2012)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)How to Do a Systematic Review: A Best Practice Guide for Conducting and Reporting Narrative Reviews, Meta-Analyses, and Meta-Syntheses (2018)Sample Size Justification (2022)A basic introduction to fixed-effect and random-effects models for meta-analysis (2010)How to perform a meta-analysis with R: a practical tutorial (2019)
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  • 2009Introduction to Meta‐Analysis14,348 cited
  • 2005Why Most Published Research Findings Are False10,571 cited
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  • 2015The Extent and Consequences of P-Hacking in Science

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