| 2026 | AAAI | Identifying Features Associated with Bias Against 93 Stigmatized Groups in Language Models and Guardrail Model Safety Mitigation. | Anna-Maria Gueorguieva, Aylin Caliskan |
| 2026 | ACL | Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning. | Saloni Dash, Amlie Reymond, Emma S. Spiro, Aylin Caliskan |
| 2026 | ACL | Talent or Luck? Evaluating Attribution Bias in Large Language Models. | Chahat Raj, Mahika Banerjee, Jinhao Pan, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu |
| 2026 | ACL | VIGNETTE: Socially Grounded Bias Evaluation for Vision-Language Models. | Chahat Raj, Bowen Wei, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu |
| 2026 | CHI | A Framework to Characterize Reporting on Generative AI Use. | Agathe Balayn, Varun Nagaraj Rao, Su Lin Blodgett, Aylin Caliskan, Solon Barocas |
| 2025 | ACL | Biases Propagate in Encoder-based Vision-Language Models: A Systematic Analysis From Intrinsic Measures to Zero-shot Retrieval Outcomes. | Kshitish Ghate, Tessa Charlesworth, Mona T. Diab, Aylin Caliskan |
| 2025 | AIES | What Are Chatbots' Stereotypes About? A Data-Driven Analysis of Large Language Models' Content Associations with Social Categories. | Gandalf Nicolas, Aylin Caliskan |
| 2025 | AIES | Biased AI Outputs Can Impact Humans' Implicit Bias: A Case Study of the Impact of Gender-Biased Text-to-Image Generators. | Mattea Sim, Natalie Grace Brigham, Tadayoshi Kohno, Tessa Charlesworth, Aylin Caliskan |
| 2025 | AIES | Bias Amplification in Stable Diffusion's Representation of Stigma Through Skin Tones and Their Homogeneity. | Kyra Wilson, Sourojit Ghosh, Aylin Caliskan |
| 2025 | AIES | No Thoughts Just AI: Biased LLM Hiring Recommendations Alter Human Decision Making and Limit Human Autonomy. | Kyra Wilson, Mattea Sim, Anna-Maria Gueorguieva, Aylin Caliskan |
| 2025 | NAACL | Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders. | Kshitish Ghate, Isaac Slaughter, Kyra Wilson, Mona T. Diab, Aylin Caliskan |
| 2024 | AIES | "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 | AIES | 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 | AIES | Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis. | Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu |
| 2024 | AIES | Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval. | Kyra Wilson, Aylin Caliskan |
| 2024 | CVPR | Label-Efficient Group Robustness via Out-of-Distribution Concept Curation. | Yiwei Yang, Anthony Z. Liu, Robert Wolfe, Aylin Caliskan, Bill Howe |
| 2024 | EMNLP | BiasDora: Exploring Hidden Biased Associations in Vision-Language Models. | Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu |
| 2024 | NAACL | Global Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning. | Anjishnu Mukherjee, Aylin Caliskan, Ziwei Zhu, Antonios Anastasopoulos |
| 2023 | AIES | ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages. | Sourojit Ghosh, Aylin Caliskan |
| 2023 | AIES | Evaluating Biased Attitude Associations of Language Models in an Intersectional Context. | Shiva Omrani Sabbaghi, Robert Wolfe, Aylin Caliskan |
| 2023 | EMNLP | 'Person' == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion. | Sourojit Ghosh, Aylin Caliskan |
| 2023 | EMNLP | Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition. | Isaac Slaughter, Craig Greenberg, Reva Schwartz, Aylin Caliskan |
| 2023 | IJCAI | Artificial Intelligence, Bias, and Ethics. | Aylin Caliskan |
| 2022 | AAAI | VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models. | Robert Wolfe, Aylin Caliskan |
| 2022 | ACL | Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations. | Robert Wolfe, Aylin Caliskan |
| 2022 | AIES | Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics. | Aylin Caliskan, Pimparkar Parth Ajay, Tessa Charlesworth, Robert Wolfe, Mahzarin R. Banaji |
| 2022 | AIES | Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals. | Shiva Omrani Sabbaghi, Aylin Caliskan |
| 2022 | AIES | American == White in Multimodal Language-and-Image AI. | Robert Wolfe, Aylin Caliskan |
| 2021 | AIES | Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases. | Wei Guo, Aylin Caliskan |
| 2021 | AIES | Disparate Impact of Artificial Intelligence Bias in Ridehailing Economy's Price Discrimination Algorithms. | Akshat Pandey, Aylin Caliskan |
| 2021 | EMNLP | ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across Languages and Over Centuries. | Autumn Toney, Aylin Caliskan |
| 2021 | EMNLP | Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models. | Robert Wolfe, Aylin Caliskan |
| 2018 | ICSE | Git blame who?: stylistic authorship attribution of small, incomplete source code fragments. | Edwin Dauber, Aylin Caliskan, Richard E. Harang, Rachel Greenstadt |
| 2018 | NDSS | When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries. | Aylin Caliskan, Fabian Yamaguchi, Edwin Dauber, Richard E. Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan |
| 2017 | CCS | Beyond Big Data: What Can We Learn from AI Models?: Invited Keynote. | Aylin Caliskan |
| 2013 | NAACL | From Language to Family and Back: Native Language and Language Family Identification from English Text. | Ariel Stolerman, Aylin Caliskan, Rachel Greenstadt |