{"list":"other","total":51,"rows":[{"id":"1911.00068","title":"Confident Learning: Estimating Uncertainty in Dataset Labels","created":"2019-10-31","cited_by_count":413},{"id":"2006.14779","title":"Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance","created":"2020-06-26","cited_by_count":399},{"id":"1901.09451","title":"Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting","created":"2019-01-27","cited_by_count":349},{"id":"1912.05511","title":"Measurement and Fairness","created":"2019-12-11","cited_by_count":308},{"id":"2001.02114","title":"Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making","created":"2020-01-07","cited_by_count":281},{"id":"1802.07810","title":"Manipulating and Measuring Model Interpretability","created":"2018-02-21","cited_by_count":256},{"id":"1711.06664","title":"Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer","created":"2017-11-17","cited_by_count":233},{"id":"1811.07901","title":"On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection","created":"2018-11-19","cited_by_count":159},{"id":"2001.08298","title":"Proxy Tasks and Subjective Measures Can Be Misleading in Evaluating Explainable AI Systems","created":"2020-01-22","cited_by_count":139},{"id":"2005.00582","title":"Learning to Complement Humans","created":"2020-05-01","cited_by_count":124},{"id":"2102.09692","title":"To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making","created":"2021-02-19","cited_by_count":118},{"id":"2202.02950","title":"Jury Learning: Integrating Dissenting Voices into Machine Learning Models","created":"2022-02-07","cited_by_count":118},{"id":"1706.09847","title":"Runaway Feedback Loops in Predictive Policing","created":"2017-06-29","cited_by_count":97},{"id":"2006.00998","title":"Toxicity Detection: Does Context Really Matter?","created":"2020-06-01","cited_by_count":93},{"id":"2001.05871","title":"\"Why is 'Chicago' deceptive?\" Towards Building Model-Driven Tutorials for Humans","created":"2020-01-14","cited_by_count":86},{"id":"2112.11471","title":"Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies","created":"2021-12-21","cited_by_count":86},{"id":"2001.07426","title":"Generalization Bounds and Representation Learning for Estimation of Potential Outcomes and Causal Effects","created":"2020-01-21","cited_by_count":72},{"id":"1303.1208","title":"Classification with Asymmetric Label Noise: Consistency and Maximal Denoising","created":"2013-03-05","cited_by_count":68},{"id":"2011.00379","title":"Fair Classification with Group-Dependent Label Noise","created":"2020-10-31","cited_by_count":67},{"id":"2106.04511","title":"Designing Toxic Content Classification for a Diversity of Perspectives","created":"2021-06-04","cited_by_count":65},{"id":"2106.05498","title":"It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks","created":"2021-06-10","cited_by_count":61},{"id":"1909.00066","title":"Counterfactual Risk Assessments, Evaluation, and Fairness","created":"2019-08-30","cited_by_count":59},{"id":"2101.05303","title":"Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making","created":"2021-01-13","cited_by_count":58},{"id":"2202.05402","title":"Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning","created":"2022-02-11","cited_by_count":53},{"id":"2112.04554","title":"Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation","created":"2021-12-08","cited_by_count":52},{"id":"1806.02887","title":"Residual Unfairness in Fair Machine Learning from Prejudiced Data","created":"2018-06-07","cited_by_count":49},{"id":"2207.09584","title":"Sample Efficient Learning of Predictors that Complement Humans","created":"2022-07-19","cited_by_count":46},{"id":"2202.08821","title":"Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness","created":"2022-02-17","cited_by_count":45},{"id":"2204.02310","title":"Improving Human-AI Partnerships in Child Welfare: Understanding Worker Practices, Challenges, and Desires for Algorithmic Decision Support","created":"2022-04-05","cited_by_count":39},{"id":"2003.13808","title":"Fairness Evaluation in Presence of Biased Noisy Labels","created":"2020-03-30","cited_by_count":38},{"id":"2105.10614","title":"Human-AI Collaboration with Bandit Feedback","created":"2021-05-22","cited_by_count":36},{"id":"2206.14983","title":"A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms","created":"2022-06-30","cited_by_count":30},{"id":"2111.11297","title":"Teaching Humans When To Defer to a Classifier via Exemplars","created":"2021-11-22","cited_by_count":29},{"id":"2006.16916","title":"Counterfactual Predictions under Runtime Confounding","created":"2020-06-30","cited_by_count":22},{"id":"2012.05370","title":"Algorithmic Risk Assessments Can Alter Human Decision-Making Processes in High-Stakes Government Contexts","created":"2020-12-09","cited_by_count":22},{"id":"2207.10192","title":"Building Human Values into Recommender Systems: An Interdisciplinary Synthesis","created":"2022-07-20","cited_by_count":22},{"id":"2008.12623","title":"From Optimizing Engagement to Measuring Value","created":"2020-08-21","cited_by_count":21},{"id":"1808.09123","title":"Investigating Human + Machine Complementarity for Recidivism Predictions","created":"2018-08-28","cited_by_count":19},{"id":"2207.13834","title":"Toward Supporting Perceptual Complementarity in Human-AI Collaboration via Reflection on Unobservables","created":"2022-07-28","cited_by_count":19},{"id":"1807.00905","title":"Learning under selective labels in the presence of expert consistency","created":"2018-07-02","cited_by_count":18},{"id":"1905.12686","title":"Learning Representations by Humans, for Humans","created":"2019-05-29","cited_by_count":18},{"id":"2101.09648","title":"Leveraging Expert Consistency to Improve Algorithmic Decision Support","created":"2021-01-24","cited_by_count":17},{"id":"2107.04423","title":"Multiaccurate Proxies for Downstream Fairness","created":"2021-07-09","cited_by_count":17},{"id":"2205.01467","title":"On the Effect of Information Asymmetry in Human-AI Teams","created":"2022-05-03","cited_by_count":17},{"id":"1712.08238","title":"Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment","created":"2017-12-21","cited_by_count":16},{"id":"1909.05189","title":"ORES: Lowering Barriers with Participatory Machine Learning in Wikipedia","created":"2019-09-11","cited_by_count":16},{"id":"2102.00128","title":"The effect of differential victim crime reporting on predictive policing systems","created":"2021-01-30","cited_by_count":15},{"id":"1909.03567","title":"What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring","created":"2019-09-08","cited_by_count":14},{"id":"2109.01443","title":"The Impact of Algorithmic Risk Assessments on Human Predictions and its Analysis via Crowdsourcing Studies","created":"2021-09-03","cited_by_count":13},{"id":"1909.08518","title":"Bias In, Bias Out? Evaluating the Folk Wisdom","created":"2019-09-18","cited_by_count":7},{"id":"2206.11673","title":"Is your model predicting the past?","created":"2022-06-23","cited_by_count":5}],"next_cursor":null}