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• 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

  281-292

  2024-10-16

• 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

  293-303

  2024-10-16

• 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

  304-315

  2024-10-16

• 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

  316-327

  2024-10-16

• APPRAISE: a Governance Framework for Innovation with Artificial Intelligence Systems

  Diptish Dey, Debarati Bhaumik

  328-340

  2024-10-16

• Scaling Laws Do Not Scale

  Fernando Diaz, Michael Madaio

  341-357

  2024-10-16

• What Makes An Expert? Reviewing How ML Researchers Define "Expert"

  Mark Diaz, Angela D.R. Smith

  358-370

  2024-10-16

• SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata

  Mark Diaz, Sunipa Dev, Emily Reif, Emily Denton, Vinodkumar Prabhakaran

  371-383

  2024-10-16

• Outlier Detection Bias Busted: Understanding Sources of Algorithmic Bias through Data-centric Factors

  Xueying Ding, Rui Xi, Leman Akoglu

  384-395

  2024-10-16

• Legitimating Emotion Tracking Technologies in Driver Monitoring Systems

  Aaron Doerfler, Luke Stark

  396-410

  2024-10-16

• Representation Magnitude Has a Liability to Privacy Vulnerability

  Xingli Fang, Jung-Eun Kim

  411-420

  2024-10-16

• Red-Teaming for Generative AI: Silver Bullet or Security Theater?

  Michael Feffer, Anusha Sinha, Wesley H. Deng, Zachary C. Lipton, Hoda Heidari

  421-437

  2024-10-16

• How Should AI Decisions Be Explained? Requirements for Explanations from the Perspective of European Law

  Benjamin Fresz, Elena Dubovitskaya, Danilo Brajovic, Marco F. Huber, Christian Horz

  438-450

  2024-10-16

• 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

  451-462

  2024-10-16

• “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

  463-475

  2024-10-16

• 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

  476-489

  2024-10-16

• Interpretations, Representations, and Stereotypes of Caste within Text-to-Image Generators

  Sourojit Ghosh

  490-502

  2024-10-16

• The PPOu Framework: A Structured Approach for Assessing the Likelihood of Malicious Use of Advanced AI Systems

  Josh A. Goldstein, Girish Sastry

  503-518

  2024-10-16

• Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation (Extended Abstract)

  Declan Grabb, Max Lamparth, Nina Vasan

  519-519

  2024-10-16

• Compassionate AI for Moral Decision-Making, Health, and Well-Being

  Mark Graves, Jane Compson

  520-533

  2024-10-16

• A Conceptual Framework for Ethical Evaluation of Machine Learning Systems

  Neha R. Gupta, Jessica Hullman, Hariharan Subramonyam

  534-546

  2024-10-16

• Identifying Implicit Social Biases in Vision-Language Models

  Kimia Hamidieh, Haoran Zhang, Walter Gerych, Thomas Hartvigsen, Marzyeh Ghassemi

  547-561

  2024-10-16

• A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems

  Jessy Xinyi Han, Andrew Cesare Miller, S. Craig Watkins, Christopher Winship, Fotini Christia, Devavrat Shah

  562-572

  2024-10-16

• Contributory Injustice, Epistemic Calcification and the Use of AI Systems in Healthcare

  Mahi Hardalupas

  573-583

  2024-10-16

• ExploreGen: Large Language Models for Envisioning the Uses and Risks of AI Technologies

  Viviane Herdel, Sanja Šćepanović, Edyta Bogucka, Daniele Quercia

  584-596

  2024-10-16