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FAccT 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
Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations. 1-19 - Miriam Rateike
Designing Long-term Group Fair Policies in Dynamical Systems. 20-50 - Jack Blandin
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
Power Hungry Processing: Watts Driving the Cost of AI Deployment? 85-99 - Lauren F. Klein
Data Feminism for AI. 100-112 - Tim Räz
Reliability Gaps Between Groups in COMPAS Dataset. 113-126 - Mélanie Gornet
Mapping AI ethics: a meso-scale analysis of its charters and manifestos. 127-140 - Hellina Hailu Nigatu
"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
Why is "Problems" Predictive of Positive Sentiment? A Case Study of Explaining Unintuitive Features in Sentiment Classification. 161-172 - Kimon Kieslich
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
Algorithmic Pluralism: A Structural Approach To Equal Opportunity. 197-206 - Anna Gausen
A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers. 207-220 - Ziyang Guo
A Decision Theoretic Framework for Measuring AI Reliance. 221-236 - Sofia Jaime
Ethnic Classifications in Algorithmic Fairness: Concepts, Measures and Implications in Practice. 237-253 - Jasmine Fledderjohann
Algorithmic Reproductive Justice. 254-266 - Gisela Reyes-Cruz
"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
A preprocessing Shapley value-based approach to detect relevant and disparity prone features in machine learning. 279-289 - Therese Moreau
Failing Our Youngest: On the Biases, Pitfalls, and Risks in a Decision Support Algorithm Used for Child Protection. 290-300 - Samuel Mayworm
Misgendered During Moderation: How Transgender Bodies Make Visible Cisnormative Content Moderation Policies and Enforcement in a Meta Oversight Board Case. 301-312 - Christine Herlihy
A structured regression approach for evaluating model performance across intersectional subgroups. 313-325 - Hibby Thach
Trans-centered moderation: Trans technology creators and centering transness in platform and community governance: Trans-centered moderation. 326-336 - Nari Johnson
The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment. 337-358 - Wiebke Hutiri
Not My Voice! A Taxonomy of Ethical and Safety Harms of Speech Generators. 359-376 - Talia B. Gillis
Operationalizing the Search for Less Discriminatory Alternatives in Fair Lending. 377-387 - Jessica Quaye
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation. 388-406 - Christian Fröhlich
Insights From Insurance for Fair Machine Learning. 407-421 - Nataliya Nedzhvetskaya
No Simple Fix: How AI Harms Reflect Power and Jurisdiction in the Workplace. 422-432 - Brooke Perreault
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
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
Benchmarking the Fairness of Image Upsampling Methods. 489-517 - Min-Hsuan Yeh
Analyzing the Relationship Between Difference and Ratio-Based Fairness Metrics. 518-528 - Ira Globus-Harris
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning. 529-545 - Saumya Pareek
Trust Development and Repair in AI-Assisted Decision-Making during Complementary Expertise. 546-561 - Gábor Bella
Tackling Language Modelling Bias in Support of Linguistic Diversity. 562-572 - Sanne Vrijenhoek
Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems. 573-584 - Melissa Hall
Towards Geographic Inclusion in the Evaluation of Text-to-Image Models. 585-601 - Emily Black
D-hacking. 602-615 - Seamus Somerstep
Algorithmic Fairness in Performative Policy Learning: Escaping the Impossibility of Group Fairness. 616-630 - Leah Ajmani
Data Agency Theory: A Precise Theory of Justice for AI Applications. 631-641 - Jan Simson
Lazy Data Practices Harm Fairness Research. 642-659 - Yaaseen Mahomed
Auditing GPT's Content Moderation Guardrails: Can ChatGPT Write Your Favorite TV Show? 660-686 - Kate S. Glazko
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
AI Failure Cards: Understanding and Supporting Grassroots Efforts to Mitigate AI Failures in Homeless Services. 713-732 - Dimitri Staufer
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
Gender Bias Detection in Court Decisions: A Brazilian Case Study. 746-763 - Elizabeth Anne Watkins
The four-fifths rule is not disparate impact: A woeful tale of epistemic trespassing in algorithmic fairness. 764-775 - Andrés Domínguez Hernández
Mapping the individual, social and biospheric impacts of Foundation Models. 776-796 - Hansa Srinivasan
Generalized People Diversity: Learning a Human Perception-Aligned Diversity Representation for People Images. 797-821 - Sunnie S. Y. Kim
"I'm Not Sure, But...": Examining the Impact of Large Language Models' Uncertainty Expression on User Reliance and Trust. 822-835 - Juan Pablo Rivera
Escalation Risks from Language Models in Military and Diplomatic Decision-Making. 836-898 - Aisha Sobey
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
A Systematic Review of Biometric Monitoring in the Workplace: Analyzing Socio-technical Harms in Development, Deployment and Use. 920-932 - Jennifer Chien
Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation. 933-946 - Dana Pessach
Gender Representation Across Online Retail Products. 947-957 - Alan Chan
Visibility into AI Agents. 958-973 - Jamie Hancock
The tensions of data sharing for human rights: A modern slavery case study. 974-987 - Jamie Hancock
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
Structural Interventions and the Dynamics of Inequality. 1014-1030 - Marco Lünich
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
Mitigating Group Bias in Federated Learning for Heterogeneous Devices. 1043-1054 - Eshta Bhardwaj
Machine learning data practices through a data curation lens: An evaluation framework. 1055-1067 - Takuya Maeda
When Human-AI Interactions Become Parasocial: Agency and Anthropomorphism in Affective Design. 1068-1077 - Khoa Lam
A Framework for Assurance Audits of Algorithmic Systems. 1078-1092 - Alicia DeVrio
Building, Shifting, & Employing Power: A Taxonomy of Responses From Below to Algorithmic Harm. 1093-1106 - Lara Groves
Auditing Work: Exploring the New York City algorithmic bias audit regime. 1107-1120 - Rishabh Kaushal
Automated Transparency: A Legal and Empirical Analysis of the Digital Services Act Transparency Database. 1121-1132 - Kathleen Cachel
PreFAIR: Combining Partial Preferences for Fair Consensus Decision-making. 1133-1149 - Amina A. Abdu
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
Auditing Image-based NSFW Classifiers for Content Filtering. 1163-1173 - Arianna Manzini
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
Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings. 1199-1210 - Mazda Moayeri
WorldBench: Quantifying Geographic Disparities in LLM Factual Recall. 1211-1228 - Abeba Birhane
The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models. 1229-1244 - Kerri Prinos
Speaking of accent: A content analysis of accent misconceptions in ASR research. 1245-1254 - Petros Terzis
Law and the Emerging Political Economy of Algorithmic Audits. 1255-1267 - Bianca Giulia Sarah Schor
Meaningful Transparency for Clinicians: Operationalising HCXAI Research with Gynaecologists. 1268-1281 - Vishwali Mhasawade
A Causal Perspective on Label Bias. 1282-1294 - David Gray Widder
Epistemic Power in AI Ethics Labor: Legitimizing Located Complaints. 1295-1304 - Jan Simson
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
Large Language Models Portray Socially Subordinate Groups as More Homogeneous, Consistent with a Bias Observed in Humans. 1321-1340 - Tim Alpherts
Perceptive Visual Urban Analytics is Not (Yet) Suitable for Municipalities. 1341-1354 - Nil-Jana Akpinar
The Impact of Differential Feature Under-reporting on Algorithmic Fairness. 1355-1382 - Tasfia Mashiat
Beyond Eviction Prediction: Leveraging Local Spatiotemporal Public Records to Inform Action. 1383-1394 - Saffron Huang
Collective Constitutional AI: Aligning a Language Model with Public Input. 1395-1417 - Joachim Baumann
Fairness in Online Ad Delivery. 1418-1432 - Angelie Kraft
Knowledge-Enhanced Language Models Are Not Bias-Proof: Situated Knowledge and Epistemic Injustice in AI. 1433-1445 - Maria Antoniak
NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs. 1446-1463 - Sean Kinahan
Achieving Reproducibility in EEG-Based Machine Learning. 1464-1474 - Ruotong Wang
Investigating and Designing for Trust in AI-powered Code Generation Tools. 1475-1493 - Violet Turri
Transparency in the Wild: Navigating Transparency in a Deployed AI System to Broaden Need-Finding Approaches. 1494-1514 - Carmen Loefflad
How the Types of Consequences in Social Scoring Systems Shape People's Perceptions and Behavioral Reactions. 1515-1530 - Robert Wolfe
The Impact and Opportunities of Generative AI in Fact-Checking. 1531-1543 - Michael Madaio
Learning about Responsible AI On-The-Job: Learning Pathways, Orientations, and Aspirations. 1544-1558 - Edward Small
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness. 1559-1578 - Luca Deck
A Critical Survey on Fairness Benefits of Explainable AI. 1579-1595 - Marta Ziosi
Evidence of What, for Whom? The Socially Contested Role of Algorithmic Bias in a Predictive Policing Tool. 1596-1608 - Harini Suresh
Participation in the age of foundation models. 1609-1621 - Piotr Mirowski
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
Participatory Objective Design via Preference Elicitation. 1637-1662 - Luke Stark
Animation and Artificial Intelligence. 1663-1671 - Allison Koenecke
Careless Whisper: Speech-to-Text Hallucination Harms. 1672-1681 - Peter M. VanNostrand
Actionable Recourse for Automated Decisions: Examining the Effects of Counterfactual Explanation Type and Presentation on Lay User Understanding. 1682-1700 - Lucas Wright
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
Algorithmic Harms and Algorithmic Wrongs. 1725-1732 - Cedric Deslandes Whitney
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention. 1733-1744 - Ayan Majumdar
CARMA: A practical framework to generate recommendations for causal algorithmic recourse at scale. 1745-1762 - Arpit Agarwal
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes. 1763-1773 - Andreas Liesenfeld
Rethinking open source generative AI: open washing and the EU AI Act. 1774-1787 - Eunice Chan
Group Fairness via Group Consensus. 1788-1808 - Caitlin Kearney
Beyond Use-Cases: A Participatory Approach to Envisioning Data Science in Law Enforcement. 1809-1826 - Naina Balepur
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
Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms. 1850-1860 - Grace Guo
MiMICRI: Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models. 1861-1874 - Will Orr
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
Fairness without Sensitive Attributes via Knowledge Sharing. 1897-1906 - Robert Lee Poe
The Conflict Between Algorithmic Fairness and Non-Discrimination: An Analysis of Fair Automated Hiring. 1907-1916 - Ruta Binkyte
BaBE: Enhancing Fairness via Estimation of Explaining Variables. 1917-1925 - Rishav Hada
Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology. 1926-1939 - Mallak Alkhathlan
Balancing Act: Evaluating People's Perceptions of Fair Ranking Metrics. 1940-1970 - Madiha Zahrah Choksi
The Emerging Artifacts of Centralized Open-Code. 1971-1983 - Sebastian Zezulka
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
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates. 2007-2021 - Alex Jiahong Lu, Cameron Moy
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates. 2022-2032 - Ravit Dotan
Responsible Adoption of Generative AI in Higher Education: Developing a "Points to Consider" Approach Based on Faculty Perspectives. 2033-2046 - Alessandra Calvi
The unfair side of Privacy Enhancing Technologies: addressing the trade-offs between PETs and fairness. 2047-2059 - Hilde J. P. Weerts
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action. 2060-2070 - Kimon Kieslich
My Future with My Chatbot: A Scenario-Driven, User-Centric Approach to Anticipating AI Impacts. 2071-2085 - Isaac Slaughter
The Impact of iBuying is About More Than Just Racial Disparities: Evidence from Mecklenburg County, NC. 2086-2100 - Nadia Nahar
Regulating Explainability in Machine Learning Applications - Observations from a Policy Design Experiment. 2101-2112 - Sierra Calanda Wyllie, Ilia Shumailov
Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias. 2113-2147 - Mohammad Rashidujjaman Rifat
Data, Annotation, and Meaning-Making: The Politics of Categorization in Annotating a Dataset of Faith-based Communal Violence. 2148-2156 - Vera Schmitt
The Role of Explainability in Collaborative Human-AI Disinformation Detection. 2157-2174 - Lindsay Sanneman
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
Seeing through opacity: The limitations of digital ad transparency in Brazil. 2209-2221 - Autumn Toney
Trust Issues: Discrepancies in Trustworthy AI Keywords Use in Policy and Research. 2222-2233 - Juan Felipe Gómez
Algorithmic Arbitrariness in Content Moderation. 2234-2253 - Stephen Casper
Black-Box Access is Insufficient for Rigorous AI Audits. 2254-2272 - Chiara Ullstein
Attitudes Toward Facial Analysis AI: A Cross-National Study Comparing Argentina, Kenya, Japan, and the USA. 2273-2301 - Mazda Moayeri
Embracing Diversity: Interpretable Zero-shot Classification Beyond One Vector Per Class. 2302-2321 - Nanna Inie
From "AI" to Probabilistic Automation: How Does Anthropomorphization of Technical Systems Descriptions Influence Trust? 2322-2347 - Basileal Imana
Auditing for Racial Discrimination in the Delivery of Education Ads. 2348-2361 - Max Lamparth
Analyzing And Editing Inner Mechanisms of Backdoored Language Models. 2362-2373 - Vishwali Mhasawade
Understanding Disparities in Post Hoc Machine Learning Explanation. 2374-2388 - Jessie J. Smith
Recommend Me? Designing Fairness Metrics with Providers. 2389-2399 - Severin Engelmann
Visions of a Discipline: Analyzing Introductory AI Courses on YouTube. 2400-2420 - Pooria Babaei
Drivers and persuasive strategies to influence user intention to learn about manipulative design. 2421-2431 - Sabri Eyuboglu
Model ChangeLists: Characterizing Updates to ML Models. 2432-2453 - Inyoung Cheong
(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice. 2454-2469 - Goya van Boven
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
On the Quest for Effectiveness in Human Oversight: Interdisciplinary Perspectives. 2495-2507 - My H. Dinh
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages. 2508-2517 - Yoonjoo Lee
One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations. 2518-2531
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