FAccT

Publications

2024

Hilde J. P. Weerts, Aislinn Kelly-Lyth, Reuben Binns, Jeremias Adams-Prassl
Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms. FAccT (2024)
Max Lamparth, Anka Reuel
Analyzing And Editing Inner Mechanisms of Backdoored Language Models. FAccT (2024)
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. FAccT (2024)
Morgan Klaus Scheuerman
In the Walled Garden: Challenges and Opportunities for Research on the Practices of the AI Tech Industry. FAccT (2024)
Allison Koenecke, Anna Seo Gyeong Choi, Katelyn X. Mei, Hilke Schellmann, Mona Sloane
Careless Whisper: Speech-to-Text Hallucination Harms. FAccT (2024)
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. FAccT (2024)
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? FAccT (2024)
Joachim Baumann, Piotr Sapiezynski, Christoph Heitz, Aniko Hannak
Fairness in Online Ad Delivery. FAccT (2024)
Andreas Liesenfeld, Mark Dingemanse
Rethinking open source generative AI: open washing and the EU AI Act. FAccT (2024)
Takuya Maeda, Anabel Quan-Haase
When Human-AI Interactions Become Parasocial: Agency and Anthropomorphism in Affective Design. FAccT (2024)
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. FAccT (2024)
Sarah Riley
Overriding (in)justice: pretrial risk assessment administration on the frontlines. FAccT (2024)
Mélanie Gornet, Simon Delarue, Maria Boritchev, Tiphaine Viard
Mapping AI ethics: a meso-scale analysis of its charters and manifestos. FAccT (2024)
Miriam Rateike, Isabel Valera, Patrick Forré
Designing Long-term Group Fair Policies in Dynamical Systems. FAccT (2024)
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. FAccT (2024)
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. FAccT (2024)
Paola Lopez
More than the Sum of its Parts: Susceptibility to Algorithmic Disadvantage as a Conceptual Framework. FAccT (2024)
Abeba Birhane, Sepehr Dehdashtian, Vinay Uday Prabhu, Vishnu Boddeti
The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models. FAccT (2024)
Robert Lee Poe, Soumia Zohra El Mestari
The Conflict Between Algorithmic Fairness and Non-Discrimination: An Analysis of Fair Automated Hiring. FAccT (2024)
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. FAccT (2024)
Jessie J. Smith, Aishwarya Satwani, Robin Burke, Casey Fiesler
Recommend Me? Designing Fairness Metrics with Providers. FAccT (2024)
Khoa Lam, Benjamin Lange, Borhane Blili-Hamelin, Jovana Davidovic, Shea Brown, Ali Hasan
A Framework for Assurance Audits of Algorithmic Systems. FAccT (2024)
Arpit Agarwal, Nicolas Usunier, Alessandro Lazaric, Maximilian Nickel
System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes. FAccT (2024)
Vishwali Mhasawade, Alexander D'Amour, Stephen R. Pfohl
A Causal Perspective on Label Bias. FAccT (2024)
My H. Dinh, James Kotary, Ferdinando Fioretto
Learning Fair Ranking Policies via Differentiable Optimization of Ordered Weighted Averages. FAccT (2024)
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. FAccT (2024)
Jennifer Chien, David Danks
Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation. FAccT (2024)
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. FAccT (2024)
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. FAccT (2024)
Daniel James Bogiatzis-Gibbons
Beyond Individual Accountability: (Re-)Asserting Democratic Control of AI. FAccT (2024)
Eshta Bhardwaj, Harshit Gujral, Siyi Wu, Ciara Zogheib, Tegan Maharaj, Christoph Becker
Machine learning data practices through a data curation lens: An evaluation framework. FAccT (2024)
Ira Globus-Harris, Declan Harrison, Michael Kearns, Pietro Perona, Aaron Roth
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning. FAccT (2024)
Luke Stark
Animation and Artificial Intelligence. FAccT (2024)
Laurens Naudts
The Digital Faces of Oppression and Domination: A Relational and Egalitarian Perspective on the Data-driven Society and its Regulation. FAccT (2024)
Tim Alpherts, Sennay Ghebreab, Yen-Chia Hsu, Nanne van Noord
Perceptive Visual Urban Analytics is Not (Yet) Suitable for Municipalities. FAccT (2024)
Ayan Majumdar, Isabel Valera
CARMA: A practical framework to generate recommendations for causal algorithmic recourse at scale. FAccT (2024)
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. FAccT (2024)
Autumn Toney, Kathleen Curlee, Emelia Probasco
Trust Issues: Discrepancies in Trustworthy AI Keywords Use in Policy and Research. FAccT (2024)
Jack Blandin, Ian A. Kash
Learning Fairness from Demonstrations via Inverse Reinforcement Learning. FAccT (2024)
Alex Jiahong Lu, Cameron Moy, Mark S. Ackerman, Jeffrey Morenoff, Tawanna R. Dillahunt
Disentangling Perceptions of Offensiveness: Cultural and Moral Correlates. FAccT (2024)
Mike Laszkiewicz, Imant Daunhawer, Julia E. Vogt, Asja Fischer, Johannes Lederer
Benchmarking the Fairness of Image Upsampling Methods. FAccT (2024)
Trystan S. Goetze
AI Art is Theft: Labour, Extraction, and Exploitation: Or, On the Dangers of Stochastic Pollocks. FAccT (2024)
Carmen Loefflad, Jens Grossklags
How the Types of Consequences in Social Scoring Systems Shape People's Perceptions and Behavioral Reactions. FAccT (2024)
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. FAccT (2024)
Ruta Binkyte, Daniele Gorla, Catuscia Palamidessi
BaBE: Enhancing Fairness via Estimation of Explaining Variables. FAccT (2024)
Warren Leu, Yuta Nakashima, Noa Garcia
Auditing Image-based NSFW Classifiers for Content Filtering. FAccT (2024)
Hilde J. P. Weerts, Raphaële Xenidis, Fabien Tarissan, Henrik Palmer Olsen, Mykola Pechenizkiy
The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action. FAccT (2024)
Angelie Kraft, Eloïse Soulier
Knowledge-Enhanced Language Models Are Not Bias-Proof: Situated Knowledge and Epistemic Injustice in AI. FAccT (2024)
Emily Black, Talia Gillis, Zara Yasmine Hall
D-hacking. FAccT (2024)
Mallak Alkhathlan, Kathleen Cachel, Hilson Shrestha, Lane Harrison, Elke A. Rundensteiner
Balancing Act: Evaluating People's Perceptions of Fair Ranking Metrics. FAccT (2024)