| 2024 | The PPOu Framework: A Structured Approach for Assessing the Likelihood of Malicious Use of Advanced AI Systems. | Josh A. Goldstein, Girish Sastry |
| 2024 | Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach. | Sourojit Ghosh, Pranav Narayanan Venkit, Sanjana Gautam, Shomir Wilson, Aylin Caliskan |
| 2024 | "I Don't See Myself Represented Here at All": User Experiences of Stable Diffusion Outputs Containing Representational Harms across Gender Identities and Nationalities. | Sourojit Ghosh, Nina Lutz, Aylin Caliskan |
| 2024 | Interpretations, Representations, and Stereotypes of Caste within Text-to-Image Generators. | Sourojit Ghosh |
| 2024 | Surviving in Diverse Biases: Unbiased Dataset Acquisition in Online Data Market for Fair Model Training. | Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao, Xuetao Wei |
| 2024 | Model Multiplicity for Responsible AI. | Prakhar Ganesh |
| 2024 | How Should AI Decisions Be Explained? Requirements for Explanations from the Perspective of European Law. | Benjamin Frsz, Elena Dubovitskaya, Danilo Brajovic, Marco F. Huber, Christian Horz |
| 2024 | Red-Teaming for Generative AI: Silver Bullet or Security Theater? | Michael Feffer, Anusha Sinha, Wesley H. Deng, Zachary C. Lipton, Hoda Heidari |
| 2024 | Representation Magnitude Has a Liability to Privacy Vulnerability. | Xingli Fang, Jung-Eun Kim |
| 2024 | Schools of AI in the Public Sector: Fairness and Accountability Concerns. | Marc T. J. Elliott |
| 2024 | Legitimating Emotion Tracking Technologies in Driver Monitoring Systems. | Aaron Doerfler, Luke Stark |
| 2024 | Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors. | Xueying Ding, Rui Xi, Leman Akoglu |
| 2024 | What Makes An Expert? Reviewing How ML Researchers Define "Expert". | Mark Diaz, Angela D. R. Smith |
| 2024 | Scaling Laws Do Not Scale. | Fernando Diaz, Michael Madaio |
| 2024 | SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata. | Mark Diaz, Sunipa Dev, Emily Reif, Emily Denton, Vinodkumar Prabhakaran |
| 2024 | APPRAISE: a Governance Framework for Innovation with Artificial Intelligence Systems. | Diptish Dey, Debarati Bhaumik |
| 2024 | Sponsored is the New Organic: Implications of Sponsored Results on Quality of Search Results in the Amazon Marketplace. | Abhisek Dash, Saptarshi Ghosh, Animesh Mukherjee, Abhijnan Chakraborty, Krishna P. Gummadi |
| 2024 | MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks. | Giandomenico Cornacchia, Giulio Zizzo, Kieran Fraser, Muhammad Zaid Hameed, Ambrish Rawat, Mark Purcell |
| 2024 | Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation. | Katherine M. Collins, Najoung Kim, Yonatan Bitton, Verena Rieser, Shayegan Omidshafiei, Yushi Hu, Sherol Chen, Senjuti Dutta, Minsuk Chang, Kimin Lee, Youwei Liang, Georgina Evans, Sahil Singla, Gang Li, Adrian Weller, Junfeng He, Deepak Ramachandran, Krishnamurthy Dj Dvijotham |
| 2024 | Algorithm-Assisted Decision Making and Racial Disparities in Housing: A Study of the Allegheny Housing Assessment Tool. | Lingwei Cheng, Cameron Drayton, Alexandra Chouldechova, Rhema Vaithianathan |
| 2024 | Enhancing Transparency and Research Ethics through Human AI Techniques. | Tatiana Chakravorti |
| 2024 | Coordinated Flaw Disclosure for AI: Beyond Security Vulnerabilities. | Sven Cattell, Avijit Ghosh, Lucie-Aime Kaffee |
| 2024 | Why Am I Still Seeing This: Measuring the Effectiveness of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems. | Jane Castleman, Aleksandra Korolova |
| 2024 | An FDA for AI? Pitfalls and Plausibility of Approval Regulation for Frontier Artificial Intelligence. | Daniel Carpenter, Carson Ezell |
| 2024 | A Qualitative Study on Cultural Hegemony and the Impacts of AI. | Venetia Brown, Retno Larasati, Aisling Third, Tracie Farrell |