The Fallacy of AI Functionality

Raji, Inioluwa Deborah, Kumar, I. Elizabeth, Horowitz, Aaron, Selbst, Andrew·2022·2022 ACM Conference on Fairness Accountability and Transparency

Cited by (260)

Items 101–200 of 260

  1. Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents
    Hilda Hadan, Reza Hadi Mogavi, Leah Zhang-Kennedy, Lennart E. Nacke · 2025 · International Journal of Human-Computer Interaction
  2. Presentation matters for AI-generated clinical advice
    Marzyeh Ghassemi · 2023 · Nature Human Behaviour
  3. Reflective Design for Informal Participatory Algorithm Auditing: A Case Study with Emotion AI
    Noura Howell, Watson F Hartsoe, Jacob Amin, Vyshnavi Namani · 2024 · Nordic Conference on Human-Computer Interaction
  4. Making Sense of Machine Learning: Integrating Youth’s Conceptual, Creative, and Critical Understandings of AI
    Luis Morales‐Navarro, Yasmin B. Kafai, Francisco Barnés De Castro, William D. Payne, Kayla DesPortes, Daniella DiPaola, Randi Williams, Safinah Ali, Cynthia Breazeal, Clifford Lee et al. · 2023 · Proceedings.
  5. Beyond Predictive Algorithms in Child Welfare
    Erina Seh-Young Moon, Devansh Saxena, Tegan Maharaj, Shion Guha · 2024 · Graphics Interface
  6. Confucian ‘Trustworthy AI’: Diversifying a Keyword in the Ethics of AI and Governance
    Pak‐Hang Wong · 2024 · Philosophy of engineering and technology
  7. Employing Hybrid AI Systems to Trace and Document Bias in ML Pipelines
    Mayra Russo, Yasharajsinh Chudasama, Disha Purohit, Sammy Fabian Sawischa, María-Esther Vidal · 2024 · IEEE Access
  8. Ethics in climate AI: From theory to practice
    Viviana Acquaviva, Elizabeth A. Barnes, David John Gagne, Galen A. McKinley, S. J. Thais · 2024 · PLOS Climate
  9. Toward empowering AI governance with redress mechanisms
    Yulu Pi, Maddie Proctor · 2025 · Cambridge Forum on AI Law and Governance
  10. Sensation and Perception
    Iuliia Kotseruba, John K. Tsotsos · 2025 · Oxford University Press eBooks
  11. Lessons from the Trenches on Reproducible Evaluation of Language Models
    Biderman, Stella, Schoelkopf, Hailey, Sutawika, Lintang, Gao, Leo, Tow, Jonathan, Abbasi, Baber, Aji, Alham Fikri, Ammanamanchi, Pawan Sasanka, Black, Sidney, Clive, Jordan et al. · 2024 · arXiv
  12. Technological revolution in evaluation: Artificial intelligence and the adherence to evaluation standards
    Kai Rompczyk · 2025 · Evaluation
  13. Misabstraction in Sociotechnical Systems
    Íñigo Martínez de Rituerto de Troya, Jacqueline Kernahan, Neelke Doorn, Virginia Dignum, Roel Dobbe · 2025 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
  14. "This is My Fault", Really? Understanding Blind and Low-Vision People’s Perception of Hallucination in Large Vision Language Models
    Yilin Tang, Yuyang Fang, Tianle Wang, Lingyun Sun, Liuqing Chen · 2025 · ACM Symposium on User Interface Software and Technology (UIST)
  15. Formal and computational foundations for implementing Affective Sovereignty in emotion AI systems
    Ryan SangBaek Kim · 2026 · Discover Artificial Intelligence
  16. Data AUDIT: Identifying Attribute Utility- and Detectability-Induced Bias in Task Models
    Mitchell Pavlak, Nathan G. Drenkow, Nicholas Petrick, Mohammad Mehdi Farhangi, Mathias Unberath · 2023 · Lecture notes in computer science
  17. Transitioning Towards a Proactive Practice: A Longitudinal Field Study on the Implementation of a ML System in Adult Social Care
    Tyler Reinmund, Lars Kunze, Marina Denise Jirotka · 2024 · CHI Conference on Human Factors in Computing Systems
  18. The Impact of Artificial Intelligence on Human Resource Management
    Tshepo Maota, Vannie Naidoo · 2025 · IGI Global eBooks
  19. Augmenting user experience in the AI-transitioned metaverse: The role of knowledge management in socio-economic inclusion
    Bei He, Nourah O. Alshaghdali, Yuheng Ren, Marco Romano, Maria Teresa Cuomo · 2025 · Technology in Society
  20. Barriers and enabling factors for error analysis in NLG research
    Emiel van Miltenburg, Miruna Clinciu, Ondřej Dušek, Dimitra Gkatzia, Stephanie Inglis, Leo Leppänen, Saad Mahamood, Stephanie Schoch, Craig Thomson, Luou Wen · 2023 · Northern European Journal of Language Technology
  21. Where are the pandemic drones? On the ‘failure’ of automated aerial solutionism
    Anna Hamilton Jackman, Michael D. Richardson, Madelene Veber · 2024 · New Media & Society
  22. More than the Sum of its Parts: Susceptibility to Algorithmic Disadvantage as a Conceptual Framework
    Paola Lopez · 2024 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
  23. Asking an AI for salary negotiation advice is a matter of concern: Controlled experimental perturbation of ChatGPT for protected and non-protected group discrimination on a contextual task with no clear ground truth answers
    R. Stuart Geiger, Flynn O’Sullivan, Elsie Wang, Jonathan Lo · 2025 · PLoS ONE
  24. Opaque Transparency: Gaps and Discrepancies in the Report of Social Media Harms
    Tyler Chang, Joseph J Trybala, Sharon Bassan, Afsaneh Razi · 2025 · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)
  25. Establishing human responsibility and accountability at early stages of the lifecycle for AI-based defence systems
    Ariel Conn, Ingvild Bode · 2025 · Ethics and Information Technology
  26. Toward a taxonomy of negative outcomes from the use of AI-driven systems for people with disabilities
    Krishna Venkatasubramanian, Haven Hardie, Tina-Marie Ranalli · 2025 · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)
  27. Dual-Use Artificial Intelligence—Trends, Security Challenges, and Mitigation Strategies
    Ashok Vaseashta · 2025 · Information systems engineering and management
  28. The meta-layered framework: a diagnostic approach to ethical pluralism in human–AI systems—paradox, pluralism, and the moral architecture of adaptive intelligence
    Giovanni Velotto · 2025 · AI and Ethics
  29. Identifying Algorithmic Decision Subjects' Needs for Meaningful Contestability
    Mireia Yurrita, Himanshu Verma, Agathe Balayn, Kars Alfrink, Ujwal Gadiraju, Alessandro Bozzon · 2025 · Proceedings of the ACM on Human-Computer Interaction
  30. Using Supervised Learning to Estimate Inequality in the Size and Persistence of Income Shocks
    David Bruns-Smith, Avi Feller, Emi Nakamura · 2023 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
  31. Future of Workplace Conversational AI-driven Personal Assistants: Promises and Perils
    Koustuv Saha, Eshwar Chandrasekharan · 2023 · Annual Meeting of the Forum for Information Retrieval Evaluation (FIRE)
  32. Inteligência artificial, direito e pesquisa jurídica
    Marco Almada, Rafael A. F. Zanatta · 2024 · Revista USP
  33. The Computational Evolution of Cognitive Architectures
    Iuliia Kotseruba, John K. Tsotsos · 2025
  34. Search quality complaints and imaginary repair: Control in articulations of Google Search
    Daniel Griffin, Emma Lurie · 2022 · New Media & Society
  35. Bias as Boundary Object: Unpacking The Politics Of An Austerity Algorithm Using Bias Frameworks
    Gabriel Grill, Fabian Fischer, Florian Cech · 2023 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
  36. THE OPPORTUNITIES, LIMITATIONS, AND CHALLENGES IN USING MACHINE LEARNING TECHNOLOGIES FOR HUMANITARIAN WORK AND DEVELOPMENT
    Vedran Sekara, Márton Karsai, Esteban Moro, Dohyung Kim, Enrique Delamónica, Manuel Cebrián, Miguel Angel Luengo-Oroz, Rebeca Moreno Jiménez, Manuel García–Herranz · 2024 · Advances in Complex Systems
  37. Are humans still necessary? Expanding the discussion
    Judi E. See, Julie K. Gilpin-Mcminn, Stephen L. Dorton, Nancy J. Cooke, John D. Lee, Nathan Ka Ching Lau, Ruixuan Li · 2025 · Ergonomics
  38. One Bad NOFO? AI Governance in Federal Grantmaking
    Bateyko, Dan, Levy, Karen · 2025 · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency
  39. Investigating Youth’s Technical and Ethical Understanding of Generative Language Models When Engaging in Construction and Deconstruction Activities
    Luis Morales‐Navarro · 2025 · ACM International Conference on Interaction Design and Children (IDC)
  40. Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks
    Luke Guerdan, Devansh Saxena, Stevie Chancellor, Zhiwei Steven Wu, Kenneth Holstein · 2025 · Proceedings of the ACM on Human-Computer Interaction
  41. Re-thinking human–machine interaction and the governance of AI in the military domain
    Ingvild Bode, Katherine Chandler · 2026 · Nature Machine Intelligence
  42. Algorithmic Status Inequality: An Integrative Perspective on AI‐Driven Social Stratification
    Jie Wu · 2026 · Journal of Management Studies
  43. Using labels to limit AI misuse in health
    Elaine Okanyene Nsoesie, Marzyeh Ghassemi · 2024 · Nature Computational Science
  44. Mapping Generative AI rules and liability scenarios in the AI Act, and in the proposed EU liability rules for AI liability
    Teresa Rodríguez de las Heras Ballell · 2025 · Cambridge Forum on AI Law and Governance
  45. Towards the Development of an Anti-Colonial Critique of Climate and Disaster Risk Models
    Shreyasha Paudel, Sabine Loos, Robert Soden · 2023
  46. Aversion to external feedback suffices to ensure agent alignment
    Paulo Garcia · 2024 · Scientific Reports
  47. The Moral Hazards of Technical Debt in Large Language Models: Why Moving Fast and Breaking Things Is Bad
    Annette Vee · 2024 · Critical AI
  48. Explainability and Contestability for the Responsible Use of Public Sector AI
    Timothée Schmude · 2025 · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)
  49. Strategic Calibration AI Framework: Adaptive Imbalance in Dynamic Environments
    Steph Sharma, Joachim Layes, Mark Esposito, Yusaf H. Akbar · 2025 · SSRN Electronic Journal
  50. AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights
    Jiannan Xu, Gujie Li, Jane Yi Jiang · 2025 · SSRN Electronic Journal
  51. Better Together? On the Design and Use of Explanations to Support Novices in Individual and Collective Deliberations About AI
    Timothée Schmude, Laura M. Koesten, Torsten Bert Möller, Sebastian Tschiatschek · 2026 · International Journal of Human-Computer Interaction
  52. Digital recording and the hazards of unbounded moralized judgment
    Bart A. Kamphorst, Elizabeth O’Neill · 2024 · Technology in Society
  53. Rethinking AI Safety: Provocations from the History of Community-based Practices of Road and Driver Safety
    ‪Juana Catalina Becerra Sandoval, Felicia S. Jing · 2025 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
  54. Decoding Responsible Procurement: Conceptualizing Bias Co‐evolution in AI‐aided Organizational Decision‐making
    Joel Lo Ribeiro, Kirk A. Plangger, Matteo Montecchi · 2025 · British Journal of Management
  55. Toward substantive intersectional algorithmic fairness: desiderata for a feminist approach
    Marie Mirsch, Laila Wegner, Jonas Strube, Carmen Leicht-Scholten · 2026 · AI and Ethics
  56. When Collaboration Bridges or Breaks: A Systematic Review of Emerging Trends in Supply Chain Resilience and Sustainability
    Ari Carisza Graha Prasetia, Luca Urciuoli · 2026 · Business Strategy and the Environment
  57. AmongOthers: A Design Speculation for Rethinking AI in Online Social Communities
    Hyungjun Cho, Jiyeon Amy Seo, Woosuk Seo, Naomi Yamashita · 2026 · CHI Conference on Human Factors in Computing Systems
  58. On using large language models to support social research for climate action
    Ehsan Nabavi, Holger Robert Maier, Saman Razavi, Adrian Hindes, Mark S. Howden, Will J. Grant, Sujatha Raman · 2026 · npj Climate Action
  59. Social stereotypes in AI text-to-image generation
    Saharsh Barve, Andy Mao, Jiayue Melissa Shi, Prerna Juneja, Koustuv Saha · 2026 · AI and Ethics
  60. Dropping Incomplete Records is (not so) Straightforward
    Rianne Margaretha Schouten, Victoria Taşcău, Gabriel G. Ziegler, Davide Casano, Marco Ardizzone, Michael-Angelos Erotokritou · 2023 · Lecture notes in computer science
  61. Contribuições e Limites da Lei Geral de Proteção de Dados para a Regulação da Inteligência Artificial no Brasil
    Marco Almada, Juliano Souza de Albuquerque Maranhão · 2023 · Direito Público
  62. A Multidisciplinary Lens of Bias in Hate Speech
    Paula Reyero Lobo, Joseph Kwarteng, Mayra Russo, Miriam Fahimi, Kristen M. Scott, Antonio Ferrara, Indira Sen, Miriam Fernández · 2023 · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
  63. From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
    Tianqi Kou · 2024 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
  64. Tracing the Impact of Bias in Link Prediction
    Mayra Russo, Sammy Fabian Sawischa, María-Esther Vidal · 2024 · ACM Symposium on Applied Computing
  65. Tutorial: Safe, Secure, and Trustworthy Artificial Intelligence (AI) via Formal Verification of Neural Networks and Autonomous Cyber-Physical Systems (CPS) with NNV
    Taylor Thomas Johnson, Diego Manzanas Lopez, Hoang-Dung Tran · 2024 · IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S)
  66. Fallacy as Foundation of Post-Truth Knowledge and Knowing in LIS
    Tyler Youngman, Beth J. H. Patin · 2024 · Proceedings of the ALISE Annual Conference
  67. STRIFE: A Socio-Technical Framework for Threat Modeling of Artificial Intelligence Systems
    Rangarajan Parthasarathy, Anuradha Rangarajan, Saran Ghatak, Prasad Bingi · 2025 · International Journal of Intelligent Information Technologies
  68. Physics and the empirical gap of trustworthy AI
    S. J. Thais · 2024 · Nature Reviews Physics
  69. Countering Privacy Nihilism
    Severin Engelmann, Helen F. Nissenbaum · 2025 · SSRN Electronic Journal
  70. Utilizing Data Analytics To Identify Fraud Potential: An Internal Auditor's Perspective
    Leriza Desitama Anggraini, Imelda Saluza, Faradillah Faradillah · 2025 · Accounting and Finance Studies
  71. Multi-Value Alignment for Ml/Ai Development Choices
    Hetvi Jethwani, Anna C. F. Lewis · 2025 · American Philosophical Quarterly
  72. The Regulation of Embodied Cognition and Its Failure
    Rodrick Wallace · 2025 · Studies in applied philosophy, epistemology and rational ethics
  73. Monotherapy cancer drug-blind response prediction is limited to intraclass generalization
    William G. Herbert, Nicholas Chia, Paul A. Jensen, Marina R. S. Walther-Antonio · 2026 · PLoS Computational Biology
  74. Is AI in Higher Education a Real Help for Students?
    Aftab Hossain, Abu Nowfel Shazed, Md. Meherabul Haque, Alifennesa Alif, Sakibul Alam · 2025 · Advances in computational intelligence and robotics book series
  75. Exploring Future Trends and Uncovering Opportunities in AI-Enhanced Financial Technologies
    Abeer A. Aljohani · 2025 · Information systems engineering and management
  76. Developing an Ethical Framework for Youth
    Seyedali Ahrari, Riyad Salim Al-Issa · 2025 · Advances in computational intelligence and robotics book series
  77. Ethics and Compliance
    Anant Prakash Awasthi, Niraj Kumar Singh, Biswajit Mondal · 2026 · Advances in computational intelligence and robotics book series
  78. Distinguishing Task-Specific and General-Purpose AI in Regulation
    Jennifer Wang, Andrew D. Selbst, Solon Barocas, Suresh Venkatasubramanian · 2026 · ACM Symposium on Computer Science and Law (CSLAW)
  79. AI, the New-Age Lawyer
    Vani Singhal, Sehar Sethi, Piyush Pranjal · 2024 · Advances in business information systems and analytics book series
  80. Challenging assumptions: narrative analysis of interviews for digital health development
    Meghan Bradway, María Luisa Álvarez-Malé, Ana María Wägner, Kari Dyb · 2025 · BMC Digital Health
  81. A Major Obstacle for NLP Research: Let’s Talk about Time Allocation!
    Katharina Kann, Shiran Dudy, Arya D. McCarthy · 2022 · Conference on Empirical Methods in Natural Language Processing (EMNLP)
  82. A Common Language for Responsible AI: Evolving and Defining DOD Terms for Implementation
    Emelia Probasco · 2022
  83. Algorithmic Decoupling and the Adoption of `Privacy-Preserving' Analytics
    Ryan Steed, Alessandro Acquisti · 2024 · SSRN Electronic Journal
  84. Auditing Algorithmic Medical Systems to Uncover AI Harms and Remedy Racial Injustice
    Meredith Broussard · 2025 · Oxford University Press eBooks
  85. Unaccountable Delegation, Fading Skills: Mapping the Risks of Workplace AI Agents
    La Malfa, Gabriele, Meegahapola, Lakmal, Bogucka, Edyta, Zhang, Jie M., Luck, Michael, Black, Elizabeth, Quercia, Daniele · 2026 · arXiv
  86. Daten-Fairness als Daten-Gerechtigkeit by Design
    Felix Bieker, Marit Hansen · 2023 · Nomos Verlagsgesellschaft mbH & Co. KG eBooks
  87. Knowledge and Data in Artificial Intelligence: A Duel or a Duo
    Tatiana Albertovna Gavrilova · 2023 · Pattern Recognition and Image Analysis
  88. Artificial Intelligence and AECD Project: mapping the application of AI into a projects structure framework
    UFMG, Leonardo de Oliveira Gomes, Andréa Franco Pereira, UFMG · 2023
  89. Building a Digit Classifier with MNIST
    Jedediyah Williams · 2024 · Mathematics Teacher Learning and Teaching PK-12
  90. 14. Power and Resistance in the Twitter Bias Discourse
    Paola Lopez · 2024 · Amsterdam University Press eBooks
  91. Regulatory Analogies, LLMs, and Generative AI
    Ellen Goodman · 2024 · Critical AI
  92. Everyday Legitimacy Practices and the Algorithmic Turn in the Administrative State
    Amina A. Abdu, Abigail Jacobs · 2025 · SSRN Electronic Journal
  93. How Risky Are Open Frontier Models?
    Sébastien Krier, Harry Law, Kevin Klyman · 2025 · Oxford University Press eBooks
  94. Pragmatism and Digital Technology: A Theoretical Framework for Contemporary Challenges
    Kien Thi Pham · 2025 · Contemporary Pragmatism
  95. Foreword
    Iuliia Kotseruba, John K. Tsotsos · 2025 · Oxford University Press eBooks
  96. Figure
    Iuliia Kotseruba, John K. Tsotsos · 2025 · Oxford University Press eBooks
  97. Learning
    Iuliia Kotseruba, John K. Tsotsos · 2025 · Oxford University Press eBooks
  98. What is this book about?
    Iuliia Kotseruba, John K. Tsotsos · 2025 · Oxford University Press eBooks
  99. Taxonomies of Cognitive Architectures
    Iuliia Kotseruba, John K. Tsotsos · 2025 · Oxford University Press eBooks
  100. Practical Applications of Cognitive Architectures
    Iuliia Kotseruba, John K. Tsotsos · 2025 · Oxford University Press eBooks