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Understanding the landscape of potential harms from algorithmic systems enables practitioners to better anticipate consequences of the systems they build.
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Algorithmic Harms Beyond Facebook and Google: Emergent Challenges of Computational Agency
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An Empirical Analysis of Algorithmic Pricing on Amazon Marketplace. In Proceedings of the 25th International Conference on World Wide Web (Montréal, Québec, Canada) (WWW ’16) . International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, CHE, 1339–1349
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Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
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A Scoping Review on the Conduct and Reporting of Scoping Reviews
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The Problem with Bias: Allocative Versus Representational Harms in Machine Learning. In 9th Annual Conference of the Special Interest Group for Computing, Information and Society . Society for the History of Technology, Philadelphia, PA, USA
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Semantics Derived Automatically from Language Corpora Contain Human-like Biases
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The Scoping Review Method: Mapping the Literature in “Structural Change” Public Health Interventions
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Ethically Aligned Design: A Vision for Prioritizing Human Well-being with Autonomous and Intelligent Systems, Version 2
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‘This Oversteps a Boundary’: Teenagers Perturbed by Facebook Surveillance
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Gender and Dialect Bias in YouTube’s Automatic Captions. In Proceedings of the First ACL Workshop on Ethics in Natural Language Processing . Association for Computational Linguistics, Valencia, Spain, 53–59
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Identifying Women’s Experiences With and Strategies for Mitigating Negative Effects of Online Harassment. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (Portland, Oregon, USA) (CSCW ’17) . Association for Computing Machinery, New York, NY, USA, 1231–1245
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Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
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A Taxonomy of Cyber-harms: Defining the Impacts of Cyber-attacks and Understanding How They Propagate
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“The Continuum of Harm” Taxonomy of Cyberbullying Mitigation and Prevention
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Artificial Intelligence: Open Questions About Gender Inclusion
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Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification. In Proceedings of the 1st Conference on Fairness, Accountability and Transparency (Proceedings of Machine Learning Research, Vol. 81) , Sorelle A. Friedler and Christo Wilson (Eds.). PMLR, New York, NY, USA, 77–91
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Unlawful Distinctions? Canadian Human Rights Law and Algorithmic Bias . Vol. 2016/2018
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Assessing and Addressing Algorithmic Bias in Practice
Henriette Cramer, Jean Garcia-Gathright, Aaron Springer, and Sravana Reddy. 2018 · 2018
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Technology-facilitated Coercive Control: Domestic Violence and the Competing Roles of Digital Media Platforms
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Automating Inequality: How High-tech Tools Profile, Police, and Punish the Poor
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“A Stalker’s Paradise”: How Intimate Partner Abusers Exploit Technology. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18) . Association for Computing Machinery, New York, NY, USA, 1–13
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Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects
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The Seductive Diversion of ‘Solving’ Bias in Artificial Intelligence
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Safe Spaces and Safe Places: Unpacking Technology-Mediated Experiences of Safety and Harm with Transgender People
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Fairness of Exposure in Rankings. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (London, United Kingdom) (KDD ’18) . Association for Computing Machinery, New York, NY, USA, 2219–2228
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Ad Empathy: A Design Fiction. In Proceedings of the 2018 ACM Conference on Supporting Groupwork (Sanibel Island, Florida, USA) (GROUP ’18) . Association for Computing Machinery, New York, NY, USA, 267–273
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The Datafication of #MeToo: Whiteness, Racial Capitalism, and Anti-Violence Technologies
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Algorithmic Folk Theories and Identity: How TikTok Users Co-Produce Knowledge of Identity and Engage in Algorithmic Resistance. In Proc. ACM Hum.-Comput. Interact. , Vol. CSCW2. Association for Computing Machinery, New York, NY, USA, Article 305, 44 pages
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Michael Skirpan and Casey Fiesler. 2018 · 2018
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PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation
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Google “Fixed” its Racist Algorithm by Removing Gorillas From its Image-labeling Tech
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Judgment Call the Game: Using Value Sensitive Design and Design Fiction to Surface Ethical Concerns Related to Technology. In Proceedings of the 2019 on Designing Interactive Systems Conference (San Diego, CA, USA) (DIS ’19) . Association for Computing Machinery, New York, NY, USA, 421–433
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Race After Technology: Abolitionist Tools for the New Jim Code
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Five Years of the Right to Be Forgotten. In Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security (London, United Kingdom) (CCS ’19) . Association for Computing Machinery, New York, NY, USA, 959–972
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“I Don’t Think These Devices are Very Culturally Sensitive.”—Impact of Automated Speech Recognition Errors on African Americans
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Towards Fairness in Practice: A Practitioner-Oriented Rubric for Evaluating Fair ML Toolkits. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan) (CHI ’21) . Association for Computing Machinery, New York, NY, USA, Article 236, 13 pages
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Responsible Language Technologies: Foreseeing and Mitigating Harms. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA ’22) . Association for Computing Machinery, New York, NY, USA, Article 152, 3 pages
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Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22) . Association for Computing Machinery, New York, NY, USA, 864–876
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Who Audits the Auditors? Recommendations from a Field Scan of the Algorithmic Auditing Ecosystem. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22) . Association for Computing Machinery, New York, NY, USA, 1571–1583
Sasha Costanza-Chock, Inioluwa Deborah Raji, and Joy Buolamwini. 2022 · 2022
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Toward User-Driven Algorithm Auditing: Investigating Users’ Strategies for Uncovering Harmful Algorithmic Behavior. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22) . Association for Computing Machinery, New York, NY, USA, Article 626, 19 pages
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Designing for Knowledge Construction to Facilitate the Uptake of Open Science: Laying out the Design Space. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22) . Association for Computing Machinery, New York, NY, USA, Article 246, 16 pages
Leonie Disch, Angela Fessl, and Viktoria Pammer-Schindler. 2022 · 2022
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System Safety and Artificial Intelligence. In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22) . Association for Computing Machinery, New York, NY, USA, 1584
Roel Dobbe. 2022 · 2022
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(Re)Politicizing Digital Well-Being: Beyond User Engagements. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22) . Association for Computing Machinery, New York, NY, USA, Article 573, 13 pages
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The Algorithmic Imprint. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22) . Association for Computing Machinery, New York, NY, USA, 1305–1317
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Michael D Ekstrand, Anubrata Das, Robin Burke, Fernando Diaz, et al · 2022
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Cognitive Security and Resilience: A Social Ecological Model of Disinformation and Other Harms with Applications to COVID-19 Vaccine Information Behaviors. In 2nd Workshop Reducing Online Misinformation through Credible Information Retrieval . ROMCIR 2022, Stavanger, Norway, 48–88
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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 (New Orleans, LA, USA) (CHI ’22) . Association for Computing Machinery, New York, NY, USA, Article 158, 18 pages
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Designing for the Bittersweet: Improving Sensitive Experiences with Recommender Systems. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22) . Association for Computing Machinery, New York, NY, USA, Article 16, 18 pages
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Language Variation and Algorithmic Bias: Understanding Algorithmic Bias in British English Automatic Speech Recognition. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22) . Association for Computing Machinery, New York, NY, USA, 521–534
Nina Markl. 2022 · 2022
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Emmanuel Moss and Jacob Metcalf. 2022 · 2022
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Justice in Misinformation Detection Systems: An Analysis of Algorithms, Stakeholders, and Potential Harms. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22) . Association for Computing Machinery, New York, NY, USA, 1504–1515
Terrence Neumann, Maria De-Arteaga, and Sina Fazelpour. 2022 · 2022
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From Treatment to Healing: Envisioning a Decolonial Digital Mental Health. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22) . Association for Computing Machinery, New York, NY, USA, Article 548, 23 pages
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At the Tensions of South and North: Critical Roles of Global South Stakeholders in AI Governance. In 2022 ACM Conference on Fairness, Accountability, and Transparency (Seoul, Republic of Korea) (FAccT ’22) . Association for Computing Machinery, New York, NY, USA, 1434–1445
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Inioluwa Deborah Raji, I. Elizabeth Kumar, Aaron Horowitz, and Andrew Selbst. 2022a · 2022
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Angelina Wang, Vikram V Ramaswamy, and Olga Russakovsky. 2022b · 2022
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Informing Age-Appropriate AI: Examining Principles and Practices of AI for Children. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22) . Association for Computing Machinery, New York, NY, USA, Article 536, 29 pages
Ge Wang, Jun Zhao, Max Van Kleek, and Nigel Shadbolt. 2022c · 2022
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SoK: A Framework for Unifying At-Risk User Research. In 2022 IEEE Symposium on Security and Privacy (SP) . IEEE, San Francisco, CA, USA, 2344–2360
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Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches
Lindsay Weinberg. 2022 · 2022
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Mike Zajko. 2022 · 2022
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AI’s Regimes of Representation: A Community-Centered Study of Text-to-Image Models in South Asia. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (Chicago, IL, USA) (FAccT ’23) . Association for Computing Machinery, New York, NY, USA, 506–517
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Hannah Devinney, Jenny Björklund, and Henrik Björklund. 2022 · 2083
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