{"list":"other","total":56,"rows":[{"id":"1610.02413","title":"Equality of Opportunity in Supervised Learning","created":"2016-10-07","cited_by_count":2007},{"id":"1908.09635","title":"A Survey on Bias and Fairness in Machine Learning","created":"2019-08-23","cited_by_count":1917},{"id":"1910.10045","title":"Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI","created":"2019-10-22","cited_by_count":1552},{"id":"1803.09010","title":"Datasheets for Datasets","created":"2018-03-23","cited_by_count":1386},{"id":"1810.03993","title":"Model Cards for Model Reporting","created":"2018-10-05","cited_by_count":1080},{"id":"1608.07187","title":"Semantics derived automatically from language corpora contain human-like biases","created":"2016-08-25","cited_by_count":901},{"id":"1703.06856","title":"Counterfactual Fairness","created":"2017-03-20","cited_by_count":804},{"id":"1412.3756","title":"Certifying and removing disparate impact","created":"2014-12-11","cited_by_count":715},{"id":"1610.07524","title":"Fair prediction with disparate impact: A study of bias in recidivism prediction instruments","created":"2016-10-24","cited_by_count":672},{"id":"1801.07593","title":"Mitigating Unwanted Biases with Adversarial Learning","created":"2018-01-22","cited_by_count":663},{"id":"1803.02453","title":"A Reductions Approach to Fair Classification","created":"2018-03-06","cited_by_count":587},{"id":"1609.05807","title":"Inherent Trade-Offs in the Fair Determination of Risk Scores","created":"2016-09-19","cited_by_count":586},{"id":"1802.06309","title":"Learning Adversarially Fair and Transferable Representations","created":"2018-02-17","cited_by_count":353},{"id":"1606.08813","title":"European Union regulations on algorithmic decision-making and a \"right to explanation\"","created":"2016-06-28","cited_by_count":344},{"id":"1703.03717","title":"Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations","created":"2017-03-10","cited_by_count":294},{"id":"1901.10002","title":"A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle","created":"2019-01-28","cited_by_count":193},{"id":"1808.06640","title":"Adversarial Removal of Demographic Attributes from Text Data","created":"2018-08-20","cited_by_count":170},{"id":"1802.07228","title":"The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation","created":"2018-02-20","cited_by_count":165},{"id":"1912.07726","title":"Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy","created":"2019-12-16","cited_by_count":156},{"id":"2001.09784","title":"Algorithmic Fairness","created":"2020-01-21","cited_by_count":143},{"id":"1908.08843","title":"Fairness in Deep Learning: A Computational Perspective","created":"2019-08-23","cited_by_count":123},{"id":"2103.02023","title":"EnD: Entangling and Disentangling deep representations for bias correction","created":"2021-03-02","cited_by_count":105},{"id":"1810.05762","title":"GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning","created":"2018-10-12","cited_by_count":90},{"id":"2001.00964","title":"Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing","created":"2020-01-03","cited_by_count":89},{"id":"2103.05154","title":"Explanations in Autonomous Driving: A Survey","created":"2021-03-09","cited_by_count":81},{"id":"1902.11097","title":"Predictive Inequity in Object Detection","created":"2019-02-21","cited_by_count":77},{"id":"2102.08009","title":"EfficientLPS: Efficient LiDAR Panoptic Segmentation","created":"2021-02-16","cited_by_count":76},{"id":"1807.07049","title":"Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias","created":"2018-07-18","cited_by_count":75},{"id":"1906.06439","title":"Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias","created":"2019-06-14","cited_by_count":74},{"id":"2005.02979","title":"A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems","created":"2020-05-06","cited_by_count":71},{"id":"1901.04562","title":"Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements","created":"2019-01-14","cited_by_count":70},{"id":"1906.08286","title":"Incorporating Priors with Feature Attribution on Text Classification","created":"2019-06-19","cited_by_count":68},{"id":"2103.05056","title":"LCDNet: Deep Loop Closure Detection and Point Cloud Registration for LiDAR SLAM","created":"2021-03-08","cited_by_count":67},{"id":"2006.16232","title":"Learning Robot Skills with Temporal Variational Inference","created":"2020-06-29","cited_by_count":54},{"id":"1906.09688","title":"Transfer of Machine Learning Fairness across Domains","created":"2019-06-24","cited_by_count":36},{"id":"1707.00051","title":"Failing to Learn: Autonomously Identifying Perception Failures for Self-driving Cars","created":"2017-06-30","cited_by_count":28},{"id":"2101.05325","title":"Learning Kinematic Feasibility for Mobile Manipulation through Deep Reinforcement Learning","created":"2021-01-13","cited_by_count":26},{"id":"1912.00761","title":"On the Legal Compatibility of Fairness Definitions","created":"2019-11-25","cited_by_count":19},{"id":"2109.15286","title":"Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation","created":"2021-09-30","cited_by_count":19},{"id":"1906.10490","title":"Age and gender bias in pedestrian detection algorithms","created":"2019-06-25","cited_by_count":18},{"id":"2008.01712","title":"Deep Inverse Q-learning with Constraints","created":"2020-08-04","cited_by_count":17},{"id":"1809.09245","title":"Evaluating Fairness Metrics in the Presence of Dataset Bias","created":"2018-09-24","cited_by_count":15},{"id":"2004.13795","title":"CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps","created":"2020-04-20","cited_by_count":14},{"id":"2008.09490","title":"Beyond Individual and Group Fairness","created":"2020-08-21","cited_by_count":13},{"id":"1906.01304","title":"Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue","created":"2019-06-04","cited_by_count":11},{"id":"2101.02647","title":"From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation","created":"2021-01-07","cited_by_count":11},{"id":"2110.10389","title":"Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias","created":"2021-10-20","cited_by_count":11},{"id":"2202.10848","title":"Speciesist bias in AI -- How AI applications perpetuate discrimination and unfair outcomes against animals","created":"2022-02-22","cited_by_count":11},{"id":"1906.00107","title":"Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving","created":"2019-05-31","cited_by_count":8},{"id":"1908.06165","title":"Oxford Handbook on AI Ethics Book Chapter on Race and Gender","created":"2019-08-08","cited_by_count":7},{"id":"1803.03719","title":"DeepMoTIon: Learning to Navigate Like Humans","created":"2018-03-09","cited_by_count":6},{"id":"2004.00899","title":"Go Fetch: Mobile Manipulation in Unstructured Environments","created":"2020-04-02","cited_by_count":5},{"id":"2202.02654","title":"Doing Right by Not Doing Wrong in Human-Robot Collaboration","created":"2022-02-05","cited_by_count":4},{"id":"1807.00948","title":"Does Removing Stereotype Priming Remove Bias? A Pilot Human-Robot Interaction Study","created":"2018-07-03","cited_by_count":3},{"id":"2111.04417","title":"Providing a Philosophical Critique and Guidance of Fairness Metrics","created":"2021-10-17","cited_by_count":1},{"id":"2201.10853","title":"Feminist Perspective on Robot Learning Processes","created":"2022-01-26","cited_by_count":1}],"next_cursor":null}