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Teaching unbiased decision-making is crucial for addressing biased decision-making in daily life.
What You See is What You Get? The Impact of Representation Criteria on Human Bias in Hiring. In Proceedings of the 2019 AAAI Conference on Human Computation and Crowdsourcing
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A Theory of Psychological Reactance
Jack W. Brehm. 1966 · 1966
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Training for Calibration
Sarah Lichtenstein and Baruch Fischhoff. 1980 · 1980
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Statlog (German Credit Data)
Hans Hofmann. 1994 · 1994
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Mental Contamination and Mental Correction: Unwanted Influences on Judgments and Evaluations
Timothy D. Wilson and Nancy Brekke. 1994 · 1994
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Multiple Explanation: A Consider-an-alternative Strategy for Debiasing Judgments
Edward R. Hirt and Keith D. Markman. 1995 · 1995
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Attitudes and Attitude Change
Richard E. Petty, Duane T. Wegener, and Leandre R. Fabrigar. 1997 · 1997
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Measuring Individual Differences in Implicit Cognition: The Implicit Association Test
Anthony G. Greenwald, Debbie E. McGhee, and Jordan L.K. Schwartz. 1998 · 1998
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Feedback to Minorities: Evidence of a Positive Bias
Kent D. Harber. 1998 · 1998
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Consequences of Stereotype Suppression: Stereotypes on AND not on the Rebound
Margo J. Monteith, Clarence V. Spicer, and Gregory D. Tooman. 1998 · 1998
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Orchestrating Impartiality: The Impact of “Blind” Auditions on Female Musicians
Claudia Goldin and Cecilia Rouse. 2000 · 2000
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Measuring Non-expert Comprehension of Machine Learning Fairness Metrics. In Proceedings of the 2020 International Conference on Machine Learning
Debjani Saha, Candice Schumann, Duncan Mcelfresh, John Dickerson, Michelle Mazurek, and Michael Tschantz. 2020 · 2001
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Overcoming the Ironic Rebound: Effective and Ineffective Strategies for Stereotype Suppression
Tomoko Oe and Takashi Oka. 2003 · 2003
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Are Emily and Greg More Employable than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination
Marianne Bertrand and Sendhil Mullainathan. 2004 · 2004
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Debiasing
Richard P. Larrick. 2004 · 2004
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Further Ironies of Suppression: Stereotype and Counterstereotype Accessibility
Adam D. Galinsky and Gordon B. Moskowitz. 2007 · 2006
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Guidelines for Adolescent Well Care: Is There Consensus?
Tracy K. Richmond, Gary L. Freed, Sarah J. Clark, Michael D. Cabana, American Academy of Pediatrics, American Academy of Family Practice, Maternal Child Health Bureau, American Medical Association – Guidelines for Adolescent Preventive Services, United States Preventive Services Task Force, Early and Periodic Screening, Diagnosis, and Treatment, and National Committee for Quality Assurance. 2006 · 2006
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Learning to Detect Sexism: An Evaluation of the Effects of a Brief Video-based Intervention Using ROC Analysis
Regina König and Angela Heine. 2023 · 2007
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CrowDEA: Multi-view Idea Prioritization with Crowds. In Proceedings of the 2020 AAAI Conference on Human Computation and Crowdsourcing
Yukino Baba, Jiyi Li, and Hisashi Kashima. 2020 · 2008
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Sneaking in through the Back Door: How Category-based Stereotype Suppression Leads to Rebound in Feature-based Effects
Sei Jin Ko, Dominique Muller, Charles M. Judd, and Diederik A. Stapel. 2008 · 2008
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The Relative Influence of Advice from Human Experts and Statistical Methods on Forecast Adjustments
Dilek Önkal, Paul Goodwin, Mary Thomson, Sinan Gönül, and Andrew Pollock. 2009 · 2009
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Three Naive Bayes Approaches for Discrimination-free Classification
Toon Calders and Sicco Verwer. 2010 · 2010
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Fairness through Awareness. In Proceedings of the 2012 Innovations in Theoretical Computer Science Conference
Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, and Richard Zemel. 2012 · 2012
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Putting Yourself in the Skin of a Black Avatar Reduces Implicit Racial Bias
Tabitha C. Peck, Sofia Seinfeld, Salvatore M. Aglioti, and Mel Slater. 2013 · 2013
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Fake News Game Confers Psychological Resistance Against Online Misinformation
Jon Roozenbeek and Sander Van der Linden. 2019 · 2013
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Cheap Talk and Credibility: The Consequences of Confidence and Accuracy on Advisor Credibility and Persuasiveness
Sunita Sah, Don A. Moore, and Robert J. MacCoun. 2013 · 2013
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Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err
Berkeley J. Dietvorst, Joseph P. Simmons, and Cade Massey. 2015 · 2015
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The Chicago Face Database: A Free Stimulus Set of Faces and Norming Data
Debbie S. Ma, Joshua Correll, and Bernd Wittenbrink. 2015 · 2015
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Effects of Distance Between Initial Estimates and Advice on Advice Utilization
Thomas Schultze, Anne-Fernandine Rakotoarisoa, and Schulz-Hardt Stefan. 2015 · 2015
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Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, and Nati Srebro. 2016 · 2016
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Boosting Medical Diagnostics by Pooling Independent Judgments
Ralf H.J.M. Kurvers, Stefan M. Herzog, Ralph Hertwig, Jens Krause, Patricia A. Carney, Andy Bogart, Giuseppe Argenziano, Iris Zalaudek, and Max Wolf. 2016 · 2016
Cited alongside, same era.
Iterative Machine Teaching. In Proceedings of the 2017 International Conference on Machine Learning
Weiyang Liu, Bo Dai, Ahmad Humayun, Charlene Tay, Chen Yu, Linda B. Smith, James M. Rehg, and Le Song. 2017 · 2017
Cited alongside, same era.
A Reductions Approach to Fair Classification. In Proceedings of the 2018 International Conference on Machine Learning
Alekh Agarwal, Alina Beygelzimer, Miroslav Dudik, John Langford, and Hanna Wallach. 2018 · 2018
Cited alongside, same era.
Becoming Homeless: A Human Experience. In Proceedings of the 2018 ACM SIGGRAPH Virtual, Augmented, and Mixed Reality
Tobin Asher, Elise Ogle, Jeremy Bailenson, and Fernanda Fernanda Herrera. 2018 · 2018
Cited alongside, same era.
A Framework of High-stakes Algorithmic Decision-making for the Public Sector Developed through a Case Study of Child-welfare
Devansh Saxena, Karla Badillo-Urquiola, Pamela J. Wisniewski, and Shion Guha. 2021 · 2021
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Teaching an Active Learner with Contrastive Examples
Chaoqi Wang, Adish Singla, and Yuxin Chen. 2021 · 2021
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Are Explanations Helpful? A Comparative Study of the Effects of Explanations in AI-assisted Decision-making. In Proceedings of the 2021 International Conference on Intelligent User Interfaces
Xinru Wang and Ming Yin. 2021 · 2021
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Machine Bias
Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2022 · 2022
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How Child Welfare Workers Reduce Racial Disparities in Algorithmic Decisions. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Hao-Fei Cheng, Logan Stapleton, Anna Kawakami, Venkatesh Sivaraman, Yanghuidi Cheng, Diana Qing, Adam Perer, Kenneth Holstein, Zhiwei Steven Wu, and Haiyi Zhu. 2022 · 2022
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Near-optimal Machine Teaching via Explanatory Teaching Sets. In Proceedings of the 2018 International Conference on Artificial Intelligence and Statistics
Yuxin Chen, Oisin Mac Aodha, Shihan Su, Pietro Perona, and Yisong Yue. 2018 · 2018
Cited alongside, same era.
Diversity of Inference Strategies can Enhance the ‘Wisdom-of-Crowds’ effect
Itsuki Fujisaki, Hidehito Honda, and Kazuhiro Ueda. 2018 · 2018
Cited alongside, same era.
Towards Black-box Iterative Machine Teaching. In Proceedings of the 2018 International Conference on Machine Learning
Weiyang Liu, Bo Dai, Xingguo Li, Zhen Liu, James Rehg, and Le Song. 2018 · 2018
Cited alongside, same era.
Comparing Automatic and Human Evaluation of Local Explanations for Text Classification. In Proceedings of the 2018 North American Chapter of the Association for Computational Linguistics
Dong Nguyen. 2018 · 2018
Cited alongside, same era.
Individuals Fail to Reap the Collective Benefits of Diversity Because of Over-reliance on Personal Information
Alan Novaes Tump, Max Wolf, Jens Krause, and Ralf H.J.M. Kurvers. 2018 · 2018
Cited alongside, same era.
Mitigating Unwanted Biases with Adversarial Learning. In Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society
Brian Zhang, Blake Lemoine, and Margaret Mitchell. 2018 · 2018
Cited alongside, same era.
Yao Zhou, Arun Reddy Nelakurthi, and Jingrui He. 2018 · 2018
Cited alongside, same era.
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Method for Appropriating the Brief Implicit Association Test to Elicit Biases in Users. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Tilman Dingler, Benjamin Tag, David A. Eccles, Niels van Berkel, and Vassilis Kostakos. 2022 · 2022
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Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning. In Proceedings of the 2022 International Conference on Intelligent User Interfaces
Krzysztof Z. Gajos and Lena Mamykina. 2022 · 2022
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Understanding Decision Subjects’ Fairness Perceptions and Retention in Repeated Interactions with AI-based Decision Systems. In Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society
Meric Altug Gemalmaz and Ming Yin. 2022 · 2022
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Biases Left Unattended: People are Surprised at Racial Bias Feedback until They Pay Attention to Their Biased Reactions
Alexandra Goedderz and Adam Hahn. 2022 · 2022
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The Impact of Algorithmic Tools on Child Protection: Evidence from a Randomized Controlled Trial
Marie-Pascale Grimon and Christopher Mills. 2022 · 2022
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Generalized Demographic Parity for Group Fairness. In Proceedings of the 2022 International Conference on Learning Representations
Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, and Xia Hu. 2022 · 2022
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“Because AI is 100% Right and Safe”: User Attitudes and Sources of AI Authority in India. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Shivani Kapania, Oliver Siy, Gabe Clapper, Azhagu Meena Sp, and Nithya Sambasivan. 2022 · 2022
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I’m Biased and so are You. What Should Organizations Do? A Review of Organizational Implicit-bias Training Programs
Jennifer Y. Kim and Loriann Roberson. 2022 · 2022
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To Self-persuade or be Persuaded: Examining Interventions for Users’ Privacy Setting Selection. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Isadora Krsek, Kimi Wenzel, Sauvik Das, Jason I. Hong, and Laura Dabbish. 2022 · 2022
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Not Just a Preference: Reducing Biased Decision-making on Dating Websites. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Zilin Ma and Krzysztof Z. Gajos. 2022 · 2022
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Toward Involving End-users in Interactive Human-in-the-loop AI Fairness
Yuri Nakao, Simone Stumpf, Subeida Ahmed, Aisha Naseer, and Lorenzo Strappelli. 2022 · 2022
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Understanding the Impact of Explanations on Advice-taking: A User Study for AI-based Clinical Decision Support Systems. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Cecilia Panigutti, Andrea Beretta, Fosca Giannotti, and Dino Pedreschi. 2022 · 2022
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Designing Fair AI in Human Resource Management: Understanding Tensions Surrounding Algorithmic Evaluation and Envisioning Stakeholder-centered Solutions. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Hyanghee Park, Daehwan Ahn, Kartik Hosanagar, and Joonhwan Lee. 2022 · 2022
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When Confidence Meets Accuracy: Exploring the Effects of Multiple Performance Indicators on Trust in Machine Learning Models. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Amy Rechkemmer and Ming Yin. 2022 · 2022
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Capable but Amoral? Comparing AI and Human Expert Collaboration in Ethical Decision Making. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Suzanne Tolmeijer, Markus Christen, Serhiy Kandul, Markus Kneer, and Abraham Bernstein. 2022 · 2022
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“If I Had All the Time in the World”: Ophthalmologists’ Perceptions of Anchoring Bias Mitigation in Clinical AI Support. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Anne Kathrine Petersen Bach, Trine Munch Nørgaard, Jens Christian Brok, and Niels van Berkel. 2023 · 2023
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Are Two Heads Better than One in AI-assisted Decision Making? Comparing the Behavior and Performance of Groups and Individuals in Human-AI Collaborative Recidivism Risk Assessment. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Chun-Wei Chiang, Zhuoran Lu, Zhuoyan Li, and Ming Yin. 2023 · 2023
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Knowing about Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Gaole He, Lucie Kuiper, and Ujwal Gadiraju. 2023 · 2023
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Towards a Science of Human-AI Decision Making: An Overview of Design Space in Empirical Human-subject Studies. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency
Vivian Lai, Chacha Chen, Alison Smith-Renner, Vera Liao, and Chenhao Tan. 2023 · 2023
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Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria. In Proceedings of the 2023 AAAI Conference on Artificial Intelligence
Yiqiao Liao and Parinaz Naghizadeh. 2023 · 2023
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Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-assisted Decision-making. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Shuai Ma, Ying Lei, Xinru Wang, Chengbo Zheng, Chuhan Shi, Ming Yin, and Xiaojuan Ma. 2023 · 2023
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Iterative Teaching by Data Hallucination. In Proceedings of the 2023 International Conference on Artificial Intelligence and Statistics
Zeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, and Bernhard Schölkopf. 2023 · 2023
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Algorithmic Appreciation or Aversion? The Moderating Effects of Uncertainty on Algorithmic Decision Making. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
Aaron Schecter, Eric Bogert, and Nina Lauharatanahirun. 2023 · 2023
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Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-based Treatment Recommendations in Health Care. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Venkatesh Sivaraman, Leigh A. Bukowski, Joel Levin, Jeremy M. Kahn, and Adam Perer. 2023 · 2023
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