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ORCIDFAccT 2024: Rio de Janeiro, Brazil
- The 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024, Rio de Janeiro, Brazil, June 3-6, 2024. ACM 2024
Archival Papers
- Benjamin Frész
, Lena Lörcher, Marco Huber:
Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations. 1-19 - Miriam Rateike, Isabel Valera, Patrick Forré:
Designing Long-term Group Fair Policies in Dynamical Systems. 20-50 - Jack Blandin, Ian A. Kash:
Learning Fairness from Demonstrations via Inverse Reinforcement Learning. 51-61 - Jessie Finocchiaro:
Using Property Elicitation to Understand the Impacts of Fairness Regularizers. 62-73 - Daniel James Bogiatzis-Gibbons:
Beyond Individual Accountability: (Re-)Asserting Democratic Control of AI. 74-84 - Sasha Luccioni, Yacine Jernite, Emma Strubell:
Power Hungry Processing: Watts Driving the Cost of AI Deployment? 85-99 - Lauren F. Klein, Catherine D'Ignazio:
Data Feminism for AI. 100-112 - Tim Räz:
Reliability Gaps Between Groups in COMPAS Dataset. 113-126 - Mélanie Gornet, Simon Delarue, Maria Boritchev, Tiphaine Viard:
Mapping AI ethics: a meso-scale analysis of its charters and manifestos. 127-140 - Hellina Hailu Nigatu, Inioluwa Deborah Raji:
"I Searched for a Religious Song in Amharic and Got Sexual Content Instead'': Investigating Online Harm in Low-Resourced Languages on YouTube. 141-160 - Jiaming Qu, Jaime Arguello, Yue Wang:
Why is "Problems" Predictive of Positive Sentiment? A Case Study of Explaining Unintuitive Features in Sentiment Classification. 161-172 - Kimon Kieslich, Marco Lünich:
Regulating AI-Based Remote Biometric Identification. Investigating the Public Demand for Bans, Audits, and Public Database Registrations. 173-185 - Trystan S. Goetze:
AI Art is Theft: Labour, Extraction, and Exploitation: Or, On the Dangers of Stochastic Pollocks. 186-196 - Shomik Jain, Vinith M. Suriyakumar, Kathleen Creel, Ashia Wilson:
Algorithmic Pluralism: A Structural Approach To Equal Opportunity. 197-206 - Anna Gausen, Bhaskar Mitra, Siân Lindley:
A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers. 207-220 - Ziyang Guo, Yifan Wu, Jason D. Hartline, Jessica Hullman:
A Decision Theoretic Framework for Measuring AI Reliance. 221-236 - Sofia Jaime, Christoph Kern:
Ethnic Classifications in Algorithmic Fairness: Concepts, Measures and Implications in Practice. 237-253 - Jasmine Fledderjohann, Bran Knowles, Esmorie Miller:
Algorithmic Reproductive Justice. 254-266 - Gisela Reyes-Cruz, Peter J. Craigon, Anna-Maria Piskopani, Liz Dowthwaite, Yang Lu, Justyna Lisinska, Elnaz Shafipour, Sebastian Stein, Joel E. Fischer:
"Like rearranging deck chairs on the Titanic"? Feasibility, Fairness, and Ethical Concerns of a Citizen Carbon Budget for Reducing CO2 Emissions. 267-278 - Guilherme Dean Pelegrina, Miguel Couceiro, Leonardo Tomazeli Duarte:
A preprocessing Shapley value-based approach to detect relevant and disparity prone features in machine learning. 279-289 - Therese Moreau, Roberta Sinatra, Vedran Sekara:
Failing Our Youngest: On the Biases, Pitfalls, and Risks in a Decision Support Algorithm Used for Child Protection. 290-300 - Samuel Mayworm, Kendra Albert, Oliver L. Haimson:
Misgendered During Moderation: How Transgender Bodies Make Visible Cisnormative Content Moderation Policies and Enforcement in a Meta Oversight Board Case. 301-312 - Christine Herlihy, Kimberly Truong, Alexandra Chouldechova, Miroslav Dudík:
A structured regression approach for evaluating model performance across intersectional subgroups. 313-325 - Hibby Thach, Samuel Mayworm, Michaelanne Thomas, Oliver L. Haimson:
Trans-centered moderation: Trans technology creators and centering transness in platform and community governance: Trans-centered moderation. 326-336 - Nari Johnson, Sanika Moharana, Christina N. Harrington, Nazanin Andalibi, Hoda Heidari, Motahhare Eslami:
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment. 337-358 - Wiebke Hutiri, Orestis Papakyriakopoulos, Alice Xiang:
Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators. 359-376 - Talia B. Gillis, Vitaly Meursault, Berk Ustun:
Operationalizing the Search for Less Discriminatory Alternatives in Fair Lending. 377-387 - Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo:
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. 388-406 - Christian Fröhlich, Robert C. Williamson:
Insights From Insurance for Fair Machine Learning. 407-421 - Nataliya Nedzhvetskaya, J. S. Tan:
No Simple Fix: How AI Harms Reflect Power and Jurisdiction in the Workplace. 422-432 - Brooke Perreault, Johanna Hoonsun Lee, Ropafadzo Shava, Eni Mustafaraj:
Algorithmic Misjudgement in Google Search Results: Evidence from Auditing the US Online Electoral Information Environment. 433-443 - Ramya Srinivasan:
To See or Not to See: Understanding the Tensions of Algorithmic Curation for Visual Arts. 444-455 - Morgan Klaus Scheuerman:
In the Walled Garden: Challenges and Opportunities for Research on the Practices of the AI Tech Industry. 456-466 - Francesco Paolo Nerini, Paolo Bajardi, André Panisson:
Value is in the Eye of the Beholder: A Framework for an Equitable Graph Data Evaluation. 467-479 - Sarah Riley:
Overriding (in)justice: pretrial risk assessment administration on the frontlines. 480-488 - Mike Laszkiewicz, Imant Daunhawer, Julia E. Vogt, Asja Fischer, Johannes Lederer:
Benchmarking the Fairness of Image Upsampling Methods. 489-517 - Min-Hsuan Yeh, Blossom Metevier, Austin Hoag, Philip S. Thomas:
Analyzing the Relationship Between Difference and Ratio-Based Fairness Metrics. 518-528 - Ira Globus-Harris, Declan Harrison, Michael Kearns, Pietro Perona, Aaron Roth:
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning. 529-545 - Saumya Pareek, Eduardo Velloso, Jorge Gonçalves:
Trust Development and Repair in AI-Assisted Decision-Making during Complementary Expertise. 546-561 - Gábor Bella, Paula Helm, Gertraud Koch, Fausto Giunchiglia:
Tackling Language Modelling Bias in Support of Linguistic Diversity. 562-572 - Sanne Vrijenhoek, Savvina Daniil, Jorden Sandel, Laura Hollink:
Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems. 573-584 - Melissa Hall, Samuel J. Bell, Candace Ross, Adina Williams, Michal Drozdzal, Adriana Romero-Soriano:
Towards Geographic Inclusion in the Evaluation of Text-to-Image Models. 585-601 - Emily Black, Talia Gillis, Zara Yasmine Hall:
D-hacking. 602-615 - Seamus Somerstep, Yaacov Ritov, Yuekai Sun:
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness. 616-630 - Leah Ajmani, Logan Stapleton, Mo Houtti, Stevie Chancellor:
Data Agency Theory: A Precise Theory of Justice for AI Applications. 631-641 - Jan Simson, Alessandro Fabris, Christoph Kern:
Lazy Data Practices Harm Fairness Research. 642-659 - Yaaseen Mahomed, Charlie M. Crawford, Sanjana Gautam, Sorelle A. Friedler, Danaë Metaxa:
Auditing GPT's Content Moderation Guardrails: Can ChatGPT Write Your Favorite TV Show? 660-686 - Kate S. Glazko, Yusuf Mohammed, Ben Kosa, Venkatesh Potluri, Jennifer Mankoff:
Identifying and Improving Disability Bias in GPT-Based Resume Screening. 687-700 - Laurens Naudts:
The Digital Faces of Oppression and Domination: A Relational and Egalitarian Perspective on the Data-driven Society and its Regulation. 701-712 - Ningjing Tang, Jiayin Zhi, Tzu-Sheng Kuo, Calla Kainaroi, Jeremy J. Northup, Kenneth Holstein, Haiyi Zhu, Hoda Heidari, Hong Shen:
AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services. 713-732 - Dimitri Staufer, Frank Pallas, Bettina Berendt:
Silencing the Risk, Not the Whistle: A Semi-automated Text Sanitization Tool for Mitigating the Risk of Whistleblower Re-Identification. 733-745 - Raysa M. Benatti, Fabiana C. Severi, Sandra Avila, Esther Luna Colombini:
Gender Bias Detection in Court Decisions: A Brazilian Case Study. 746-763 - Elizabeth Anne Watkins, Jiahao Chen:
The four-fifths rule is not disparate impact: A woeful tale of epistemic trespassing in algorithmic fairness. 764-775 - Andrés Domínguez Hernández, Shyam Krishna, Antonella Maia Perini, Michael A. Katell, SJ Bennett, Ann Borda, Youmna Hashem, Semeli Hadjiloizou, Sabeehah Mahomed, Smera Jayadeva, Mhairi Aitken, David Leslie:
Mapping the individual, social and biospheric impacts of Foundation Models. 776-796 - Hansa Srinivasan, Candice Schumann, Aradhana Sinha, David Madras, Gbolahan Oluwafemi Olanubi, Alex Beutel, Susanna Ricco, Jilin Chen:
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images. 797-821 - Sunnie S. Y. Kim, Q. Vera Liao, Mihaela Vorvoreanu, Stephanie Ballard, Jennifer Wortman Vaughan:
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust. 822-835 - Juan Pablo Rivera, Gabriel Mukobi, Anka Reuel, Max Lamparth, Chandler Smith, Jacquelyn Schneider:
Escalation Risks from Language Models in Military and Diplomatic Decision-Making. 836-898 - Aisha Sobey, Laura Carter:
The Harmful Fetishisation of Reductive Personal Tracking Metrics in Digital Systems. 899-908 - Paola Lopez:
More than the Sum of its Parts: Susceptibility to Algorithmic Disadvantage as a Conceptual Framework. 909-919 - Ezra Awumey, Sauvik Das, Jodi Forlizzi:
A Systematic Review of Biometric Monitoring in the Workplace: Analyzing Socio-technical Harms in Development, Deployment and Use. 920-932 - Jennifer Chien, David Danks:
Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation. 933-946 - Dana Pessach, Barbara Poblete:
Gender Representation Across Online Retail Products. 947-957 - Alan Chan, Carson Ezell, Max Kaufmann, Kevin Wei, Lewis Hammond, Herbie Bradley, Emma Bluemke, Nitarshan Rajkumar, David Krueger, Noam Kolt, Lennart Heim, Markus Anderljung:
Visibility into AI Agents. 958-973 - Jamie Hancock, Sarada Mahesh, Jennifer Cobbe, Jatinder Singh, Anjali Mazumder:
The tensions of data sharing for human rights: A modern slavery case study. 974-987 - Jamie Hancock, Ruoyun Hui, Jatinder Singh, Anjali Mazumder:
Trouble at Sea: Data and digital technology challenges for maritime human rights concerns. 988-1001 - Tianqi Kou:
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap. 1002-1013 - Aurora Zhang, Anette Hosoi:
Structural Interventions and the Dynamics of Inequality. 1014-1030 - Marco Lünich, Birte Keller:
Explainable Artificial Intelligence for Academic Performance Prediction. An Experimental Study on the Impact of Accuracy and Simplicity of Decision Trees on Causability and Fairness Perceptions. 1031-1042 - Khotso Selialia, Yasra Chandio, Fatima M. Anwar:
Mitigating Group Bias in Federated Learning for Heterogeneous Devices. 1043-1054 - Eshta Bhardwaj, Harshit Gujral, Siyi Wu, Ciara Zogheib, Tegan Maharaj, Christoph Becker:
Machine learning data practices through a data curation lens: An evaluation framework. 1055-1067 - Takuya Maeda, Anabel Quan-Haase:
When Human-AI Interactions Become Parasocial: Agency and Anthropomorphism in Affective Design. 1068-1077 - Khoa Lam, Benjamin Lange, Borhane Blili-Hamelin, Jovana Davidovic, Shea Brown, Ali Hasan:
A Framework for Assurance Audits of Algorithmic Systems. 1078-1092 - Alicia DeVrio, Motahhare Eslami, Kenneth Holstein:
Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic Harm. 1093-1106 - Lara Groves, Jacob Metcalf, Alayna Kennedy, Briana Vecchione, Andrew Strait:
Auditing Work: Exploring the New York City algorithmic bias audit regime. 1107-1120 - Rishabh Kaushal, Jacob van de Kerkhof, Catalina Goanta, Gerasimos Spanakis, Adriana Iamnitchi:
Automated Transparency: A Legal and Empirical Analysis of the Digital Services Act Transparency Database. 1121-1132 - Kathleen Cachel, Elke A. Rundensteiner:
PreFAIR: Combining Partial Preferences for Fair Consensus Decision-making. 1133-1149 - Amina A. Abdu, Lauren M. Chambers, Deirdre K. Mulligan, Abigail Z. Jacobs:
Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau's Adoption of Differential Privacy. 1150-1162 - Warren Leu, Yuta Nakashima, Noa Garcia:
Auditing Image-based NSFW Classifiers for Content Filtering. 1163-1173 - Arianna Manzini, Geoff Keeling, Nahema Marchal, Kevin R. McKee, Verena Rieser, Iason Gabriel:
Should Users Trust Advanced AI Assistants? Justified Trust As a Function of Competence and Alignment. 1174-1186 - Darren Erik Vengroff:
Impact Charts: A Tool for Identifying Systematic Bias in Social Systems and Data. 1187-1198 - Robert Wolfe, Isaac Slaughter, Bin Han, Bingbing Wen, Yiwei Yang, Lucas Rosenblatt, Bernease Herman, Eva Maxfield Brown, Zening Qu, Nic Weber, Bill Howe:
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. 1199-1210 - Mazda Moayeri, Elham Tabassi, Soheil Feizi:
WorldBench: Quantifying Geographic Disparities in LLM Factual Recall. 1211-1228 - Abeba Birhane, Sepehr Dehdashtian, Vinay Uday Prabhu, Vishnu Boddeti:
The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models. 1229-1244 - Kerri Prinos, Neal Patwari, Cathleen A. Power:
Speaking of accent: A content analysis of accent misconceptions in ASR research. 1245-1254 - Petros Terzis, Michael Veale, Noëlle Gaumann:
Law and the Emerging Political Economy of Algorithmic Audits. 1255-1267 - Bianca Giulia Sarah Schor, Emma Kallina, Jatinder Singh, Alan F. Blackwell:
Meaningful Transparency for Clinicians: Operationalising HCXAI Research with Gynaecologists. 1268-1281 - Vishwali Mhasawade, Alexander D'Amour, Stephen R. Pfohl:
A Causal Perspective on Label Bias. 1282-1294 - David Gray Widder:
Epistemic Power in AI Ethics Labor: Legitimizing Located Complaints. 1295-1304 - Jan Simson, Florian Pfisterer, Christoph Kern:
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions. 1305-1320 - Messi H. J. Lee, Jacob M. Montgomery, Calvin K. Lai:
Large Language Models Portray Socially Subordinate Groups as More Homogeneous, Consistent with a Bias Observed in Humans. 1321-1340 - Tim Alpherts, Sennay Ghebreab, Yen-Chia Hsu, Nanne van Noord:
Perceptive Visual Urban Analytics is Not (Yet) Suitable for Municipalities. 1341-1354 - Nil-Jana Akpinar, Zachary C. Lipton, Alexandra Chouldechova:
The Impact of Differential Feature Under-reporting on Algorithmic Fairness. 1355-1382 - Tasfia Mashiat, Alex DiChristofano, Patrick J. Fowler, Sanmay Das:
Beyond Eviction Prediction: Leveraging Local Spatiotemporal Public Records to Inform Action. 1383-1394 - Saffron Huang, Divya Siddarth, Liane Lovitt, Thomas I. Liao, Esin Durmus, Alex Tamkin, Deep Ganguli:
Collective Constitutional AI: Aligning a Language Model with Public Input. 1395-1417 - Joachim Baumann, Piotr Sapiezynski, Christoph Heitz, Aniko Hannak:
Fairness in Online Ad Delivery. 1418-1432 - Angelie Kraft, Eloïse Soulier:
Knowledge-Enhanced Language Models Are Not Bias-Proof: Situated Knowledge and Epistemic Injustice in AI. 1433-1445 - Maria Antoniak, Aakanksha Naik, Carla S. Alvarado, Lucy Lu Wang, Irene Y. Chen:
NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs. 1446-1463 - Sean Kinahan, Pouria Saidi, Ayoub Daliri, Julie Liss, Visar Berisha:
Achieving Reproducibility in EEG-Based Machine Learning. 1464-1474 - Ruotong Wang, Ruijia Cheng, Denae Ford, Thomas Zimmermann:
Investigating and Designing for Trust in AI-powered Code Generation Tools. 1475-1493 - Violet Turri, Katelyn Morrison, Katherine-Marie Robinson, Collin Abidi, Adam Perer, Jodi Forlizzi, Rachel Dzombak:
Transparency in the Wild: Navigating Transparency in a Deployed AI System to Broaden Need-Finding Approaches. 1494-1514 - Carmen Loefflad, Jens Grossklags:
How the Types of Consequences in Social Scoring Systems Shape People's Perceptions and Behavioral Reactions. 1515-1530 - Robert Wolfe, Tanushree Mitra:
The Impact and Opportunities of Generative AI in Fact-Checking. 1531-1543 - Michael Madaio, Shivani Kapania, Rida Qadri, Ding Wang, Andrew Zaldivar, Remi Denton, Lauren Wilcox:
Learning about Responsible AI On-The-Job: Learning Pathways, Orientations, and Aspirations. 1544-1558 - Edward Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan:
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness. 1559-1578 - Luca Deck, Jakob Schoeffer, Maria De-Arteaga, Niklas Kühl:
A Critical Survey on Fairness Benefits of Explainable AI. 1579-1595 - Marta Ziosi, Dasha Pruss:
Evidence of What, for Whom? The Socially Contested Role of Algorithmic Bias in a Predictive Policing Tool. 1596-1608 - Harini Suresh, Emily Tseng, Meg Young, Mary L. Gray, Emma Pierson, Karen Levy:
Participation in the age of foundation models. 1609-1621 - Piotr Mirowski, Juliette Love, Kory W. Mathewson, Shakir Mohamed:
A Robot Walks into a Bar: Can Language Models Serve as Creativity SupportTools for Comedy? An Evaluation of LLMs' Humour Alignment with Comedians. 1622-1636 - Ali Shirali, Jessie Finocchiaro, Rediet Abebe:
Participatory Objective Design via Preference Elicitation. 1637-1662 - Luke Stark:
Animation and Artificial Intelligence. 1663-1671 - Allison Koenecke, Anna Seo Gyeong Choi, Katelyn X. Mei, Hilke Schellmann, Mona Sloane:
Careless Whisper: Speech-to-Text Hallucination Harms. 1672-1681 - Peter M. VanNostrand, Dennis M. Hofmann, Lei Ma, Elke A. Rundensteiner:
Actionable Recourse for Automated Decisions: Examining the Effects of Counterfactual Explanation Type and Presentation on Lay User Understanding. 1682-1700 - Lucas Wright, Roxana Mika Muenster, Briana Vecchione, Tianyao Qu, Pika Senhuang Cai, Alan Smith, Jacob Metcalf, J. Nathan Matias, et al.:
Null Compliance: NYC Local Law 144 and the challenges of algorithm accountability. 1701-1713 - Emily Sullivan:
SIDEs: Separating Idealization from Deceptive 'Explanations' in xAI. 1714-1724 - Nathalie DiBerardino, Clair Baleshta, Luke Stark:
Algorithmic Harms and Algorithmic Wrongs. 1725-1732 - Cedric Deslandes Whitney, Justin Norman:
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention. 1733-1744 - Ayan Majumdar, Isabel Valera:
CARMA: A practical framework to generate recommendations for causal algorithmic recourse at scale. 1745-1762 - Arpit Agarwal, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel:
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes. 1763-1773 - Andreas Liesenfeld, Mark Dingemanse:
Rethinking open source generative AI: open washing and the EU AI Act. 1774-1787 - Eunice Chan, Zhining Liu, Ruizhong Qiu, Yuheng Zhang, Ross Maciejewski, Hanghang Tong:
Group Fairness via Group Consensus. 1788-1808 - Caitlin Kearney, Jiri Hron, Helen Kosc, Miri Zilka:
Beyond Use-Cases: A Participatory Approach to Envisioning Data Science in Law Enforcement. 1809-1826 - Naina Balepur, Hari Sundaram:
Intervening to Increase Community Trust for Fair Network Outcomes. 1827-1837 - Gabriel Grill:
Constructing Capabilities: The Politics of Testing Infrastructures for Generative AI. 1838-1849 - Hilde J. P. Weerts, Aislinn Kelly-Lyth, Reuben Binns, Jeremias Adams-Prassl:
Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms. 1850-1860 - Grace Guo, Lifu Deng, Animesh Tandon, Alex Endert, Bum Chul Kwon:
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models. 1861-1874 - Will Orr, Edward B. Kang:
AI as a Sport: On the Competitive Epistemologies of Benchmarking. 1875-1884 - Cornelia Evers:
Talking past each other? Navigating discourse on ethical AI: Comparing the discourse on ethical AI policy by Big Tech companies and the European Commission. 1885-1896 - Hongliang Ni, Lei Han, Tong Chen, Shazia W. Sadiq, Gianluca Demartini:
Fairness without Sensitive Attributes via Knowledge Sharing. 1897-1906 - Robert Lee Poe, Soumia Zohra El Mestari:
The Conflict Between Algorithmic Fairness and Non-Discrimination: An Analysis of Fair Automated Hiring. 1907-1916 - Ruta Binkyte, Daniele Gorla, Catuscia Palamidessi:
BaBE: Enhancing Fairness via Estimation of Explaining Variables. 1917-1925 - Rishav Hada, Safiya Husain, Varun Gumma, Harshita Diddee, Aditya Yadavalli, Agrima Seth, Nidhi Kulkarni, Ujwal Gadiraju, Aditya Vashistha, Vivek Seshadri, Kalika Bali:
Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology. 1926-1939 - Mallak Alkhathlan, Kathleen Cachel, Hilson Shrestha, Lane Harrison, Elke A. Rundensteiner:
Balancing Act: Evaluating People's Perceptions of Fair Ranking Metrics. 1940-1970 - Madiha Zahrah Choksi, Ilan Mandel, David Gray Widder, Yan Shvartzshnaider:
The Emerging Artifacts of Centralized Open-Code. 1971-1983 - Sebastian Zezulka, Konstantin Genin:
From the Fair Distribution of Predictions to the Fair Distribution of Social Goods: Evaluating the Impact of Fair Machine Learning on Long-Term Unemployment. 1984-2006 - Aida Mostafazadeh Davani, Mark Díaz, Dylan K. Baker, Vinodkumar Prabhakaran:
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates. 2007-2021 - Alex Jiahong Lu, Cameron Moy, Mark S. Ackerman, Jeffrey Morenoff, Tawanna R. Dillahunt:
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates. 2022-2032 - Ravit Dotan, Lisa S. Parker, John Radzilowicz:
Responsible Adoption of Generative AI in Higher Education: Developing a "Points to Consider" Approach Based on Faculty Perspectives. 2033-2046 - Alessandra Calvi, Gianclaudio Malgieri, Dimitris Kotzinos:
The unfair side of Privacy Enhancing Technologies: addressing the trade-offs between PETs and fairness. 2047-2059 - Hilde J. P. Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy:
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action. 2060-2070 - Kimon Kieslich, Natali Helberger, Nicholas Diakopoulos:
My Future with My Chatbot: A Scenario-Driven, User-Centric Approach to Anticipating AI Impacts. 2071-2085 - Isaac Slaughter, Eva Maxfield Brown, Nicholas Weber:
The Impact of iBuying is About More Than Just Racial Disparities: Evidence from Mecklenburg County, NC. 2086-2100 - Nadia Nahar, Jenny Rowlett, Matthew Bray, Zahra Abba Omar, Xenophon Papademetris, Alka Menon, Christian Kästner:
Regulating Explainability in Machine Learning Applications - Observations from a Policy Design Experiment. 2101-2112 - Sierra Calanda Wyllie, Ilia Shumailov, Nicolas Papernot:
Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias. 2113-2147 - Mohammad Rashidujjaman Rifat, Abdullah Hasan Safir, Sourav Saha, Jahedul Alam Junaed, Maryam Saleki, Mohammad Ruhul Amin, Syed Ishtiaque Ahmed:
Data, Annotation, and Meaning-Making: The Politics of Categorization in Annotating a Dataset of Faith-based Communal Violence. 2148-2156 - Vera Schmitt, Luis-Felipe Villa-Arenas, Nils Feldhus, Joachim Meyer, Robert P. Spang, Sebastian Möller:
The Role of Explainability in Collaborative Human-AI Disinformation Detection. 2157-2174 - Lindsay Sanneman, Mycal Tucker, Julie A. Shah:
An Information Bottleneck Characterization of the Understanding-Workload Tradeoff in Human-Centered Explainable AI. 2175-2198 - Stefan Baack:
A Critical Analysis of the Largest Source for Generative AI Training Data: Common Crawl. 2199-2208 - Rose Marie Santini, Débora Salles, Bruno Maurício Martins, Alékis Moreira, João Gabriel Haddad:
Seeing through opacity: The limitations of digital ad transparency in Brazil. 2209-2221 - Autumn Toney, Kathleen Curlee, Emelia Probasco:
Trust Issues: Discrepancies in Trustworthy AI Keywords Use in Policy and Research. 2222-2233 - Juan Felipe Gómez, Caio Vieira Machado, Lucas Monteiro Paes, Flávio P. Calmon:
Algorithmic Arbitrariness in Content Moderation. 2234-2253 - Stephen Casper, Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Benjamin Bucknall, Andreas A. Haupt, Kevin Wei, Jérémy Scheurer, Marius Hobbhahn, Lee Sharkey, Satyapriya Krishna, Marvin Von Hagen, Silas Alberti, Alan Chan, Qinyi Sun, Michael Gerovitch, David Bau, Max Tegmark, David Krueger, Dylan Hadfield-Menell:
Black-Box Access is Insufficient for Rigorous AI Audits. 2254-2272 - Chiara Ullstein, Severin Engelmann, Orestis Papakyriakopoulos, Yuko Ikkatai, Naira Paola Arnez-Jordan, Rose Caleno, Brian Mboya, Shuichiro Higuma, Tilman Hartwig, Hiromi M. Yokoyama, Jens Grossklags:
Attitudes Toward Facial Analysis AI: A Cross-National Study Comparing Argentina, Kenya, Japan, and the USA. 2273-2301 - Mazda Moayeri, Michael Rabbat, Mark Ibrahim, Diane Bouchacourt:
Embracing Diversity: Interpretable Zero-shot Classification Beyond One Vector Per Class. 2302-2321 - Nanna Inie, Stefania Druga, Peter Zukerman, Emily M. Bender:
From "AI" to Probabilistic Automation: How Does Anthropomorphization of Technical Systems Descriptions Influence Trust? 2322-2347 - Basileal Imana, Aleksandra Korolova, John S. Heidemann:
Auditing for Racial Discrimination in the Delivery of Education Ads. 2348-2361 - Max Lamparth, Anka Reuel:
Analyzing And Editing Inner Mechanisms of Backdoored Language Models. 2362-2373 - Vishwali Mhasawade, Salman Rahman, Zoé Haskell-Craig, Rumi Chunara:
Understanding Disparities in Post Hoc Machine Learning Explanation. 2374-2388 - Jessie J. Smith, Aishwarya Satwani, Robin Burke, Casey Fiesler:
Recommend Me? Designing Fairness Metrics with Providers. 2389-2399 - Severin Engelmann, Madiha Zahrah Choksi, Angelina Wang, Casey Fiesler:
Visions of a Discipline: Analyzing Introductory AI Courses on YouTube. 2400-2420 - Pooria Babaei, Julita Vassileva:
Drivers and persuasive strategies to influence user intention to learn about manipulative design. 2421-2431 - Sabri Eyuboglu, Karan Goel, Arjun D. Desai, Lingjiao Chen, Mathew Monfort, Christopher Ré, James Zou:
Model ChangeLists: Characterizing Updates to ML Models. 2432-2453 - Inyoung Cheong, King Xia, K. J. Kevin Feng, Quan Ze Chen, Amy X. Zhang:
(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice. 2454-2469 - Goya van Boven, Yupei Du, Dong Nguyen:
Transforming Dutch: Debiasing Dutch Coreference Resolution Systems for Non-binary Pronouns. 2470-2483 - Jennifer Mickel:
Racial/Ethnic Categories in AI and Algorithmic Fairness: Why They Matter and What They Represent. 2484-2494 - Sarah Sterz, Kevin Baum, Sebastian Biewer, Holger Hermanns, Anne Lauber-Rönsberg, Philip Meinel, Markus Langer:
On the Quest for Effectiveness in Human Oversight: Interdisciplinary Perspectives. 2495-2507 - My H. Dinh, James Kotary, Ferdinando Fioretto:
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages. 2508-2517 - Yoonjoo Lee, Kihoon Son, Tae Soo Kim, Jisu Kim, John Joon Young Chung, Eytan Adar, Juho Kim:
One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations. 2518-2531
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