Aylin Caliskan

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 59

Top Topics

Comprehensive Analysis

Image Generation

Top Venues

Proc. Priv. Enhancing Technol.

Publications

Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu
Breaking Bias, Building Bridges: Evaluation and Mitigation of Social Biases in LLMs via Contact Hypothesis. CoRR (2024)
Steven A. Lehr, Aylin Caliskan, Suneragiri Liyanage, Mahzarin R. Banaji
ChatGPT as Research Scientist: Probing GPT's Capabilities as a Research Librarian, Research Ethicist, Data Generator and Data Predictor. CoRR (2024)
Kyra Wilson, Aylin Caliskan
Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval. CoRR (2024)
Anjishnu Mukherjee, Aylin Caliskan, Ziwei Zhu, Antonios Anastasopoulos
Global Gallery: The Fine Art of Painting Culture Portraits through Multilingual Instruction Tuning. NAACL-HLT (2024)
Sourojit Ghosh, Pranav Narayanan Venkit, Sanjana Gautam, Shomir Wilson, Aylin Caliskan
Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach. CoRR (2024)
Chahat Raj, Anjishnu Mukherjee, Aylin Caliskan, Antonios Anastasopoulos, Ziwei Zhu
BiasDora: Exploring Hidden Biased Associations in Vision-Language Models. CoRR (2024)
Aylin Caliskan
Artificial Intelligence, Bias, and Ethics. IJCAI (2023)
Shiva Omrani Sabbaghi, Robert Wolfe, Aylin Caliskan
Evaluating Biased Attitude Associations of Language Models in an Intersectional Context. AIES (2023)
Katelyn Mei, Sonia Fereidooni, Aylin Caliskan
Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks. FAccT (2023)
Sourojit Ghosh, Aylin Caliskan
'Person' == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion. CoRR (2023)
Shiva Omrani Sabbaghi, Robert Wolfe, Aylin Caliskan
Evaluating Biased Attitude Associations of Language Models in an Intersectional Context. CoRR (2023)
Robert Wolfe, Yiwei Yang, Bill Howe, Aylin Caliskan
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias. FAccT (2023)
Sourojit Ghosh, Aylin Caliskan
'Person' == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion. EMNLP (Findings) (2023)
Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. FAccT (2023)
Katelyn X. Mei, Sonia Fereidooni, Aylin Caliskan
Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks. CoRR (2023)
Sourojit Ghosh, Aylin Caliskan
ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages. CoRR (2023)
Sourojit Ghosh, Aylin Caliskan
ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages. AIES (2023)
Inyoung Cheong, Aylin Caliskan, Tadayoshi Kohno
Is the U.S. Legal System Ready for AI's Challenges to Human Values? CoRR (2023)
Isaac Slaughter, Craig Greenberg, Reva Schwartz, Aylin Caliskan
Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition. CoRR (2023)
Munsif Jan, Asifa Ashraf, Abdul Basit, Aylin Caliskan, Ertan Güdekli
Traversable Wormhole in f(Q) Gravity Using Conformal Symmetry. Symmetry 15 (4) (2023)
Isaac Slaughter, Craig Greenberg, Reva Schwartz, Aylin Caliskan
Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition. EMNLP (Findings) (2023)
Robert Wolfe, Aylin Caliskan
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations. CoRR (2022)
Robert Wolfe, Mahzarin R. Banaji, Aylin Caliskan
Evidence for Hypodescent in Visual Semantic AI. FAccT (2022)
Ryan Wails, Andrew Stange, Eliana Troper, Aylin Caliskan, Roger Dingledine, Rob Jansen, Micah Sherr
Learning to Behave: Improving Covert Channel Security with Behavior-Based Designs. Proc. Priv. Enhancing Technol. 2022 (3) (2022)
Shiva Omrani Sabbaghi, Aylin Caliskan
Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals. AIES (2022)
Federico Bianchi, Pratyusha Kalluri, Esin Durmus, Faisal Ladhak, Myra Cheng, Debora Nozza, Tatsunori Hashimoto, Dan Jurafsky, James Zou, Aylin Caliskan
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale. CoRR (2022)
Robert Wolfe, Aylin Caliskan
Markedness in Visual Semantic AI. FAccT (2022)
Robert Wolfe, Aylin Caliskan
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations. ACL (1) (2022)
Robert Wolfe, Aylin Caliskan
Detecting Emerging Associations and Behaviors With Regional and Diachronic Word Embeddings. ICSC (2022)
Robert Wolfe, Mahzarin R. Banaji, Aylin Caliskan
Evidence for Hypodescent in Visual Semantic AI. CoRR (2022)
Robert Wolfe, Aylin Caliskan
VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models. AAAI (2022)
Aylin Caliskan, Pimparkar Parth Ajay, Tessa Charlesworth, Robert Wolfe, Mahzarin R. Banaji
Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics. CoRR (2022)
Aylin Caliskan, Pimparkar Parth Ajay, Tessa Charlesworth, Robert Wolfe, Mahzarin R. Banaji
Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics. AIES (2022)
Robert Wolfe, Aylin Caliskan
American == White in Multimodal Language-and-Image AI. AIES (2022)
Shiva Omrani Sabbaghi, Aylin Caliskan
Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals. CoRR (2022)
Robert Wolfe, Aylin Caliskan
American == White in Multimodal Language-and-Image AI. CoRR (2022)
Robert Wolfe, Yiwei Yang, Bill Howe, Aylin Caliskan
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias. CoRR (2022)
Robert Wolfe, Aylin Caliskan
Markedness in Visual Semantic AI. CoRR (2022)
Robert Wolfe, Aylin Caliskan
VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models. CoRR (2022)
Robert Wolfe, Aylin Caliskan
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models. CoRR (2021)
Wei Guo, Aylin Caliskan
Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases. AIES (2021)
Aylin Caliskan, Yesim Deniz Ozkan-Ozen, Yucel Ozturkoglu
Digital transformation of traditional marketing business model in new industry era. J. Enterp. Inf. Manag. 34 (4) (2021)
Autumn Toney, Aylin Caliskan
ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across Languages and Over Centuries. EMNLP (1) (2021)
Ryan Steed, Aylin Caliskan
A set of distinct facial traits learned by machines is not predictive of appearance bias in the wild. AI Ethics 1 (3) (2021)
Ryan Steed, Aylin Caliskan
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases. FAccT (2021)
Akshat Pandey, Aylin Caliskan
Disparate Impact of Artificial Intelligence Bias in Ridehailing Economy's Price Discrimination Algorithms. AIES (2021)
Autumn Toney, Akshat Pandey, Wei Guo, David A. Broniatowski, Aylin Caliskan
Automatically Characterizing Targeted Information Operations Through Biases Present in Discourse on Twitter. ICSC (2021)
Robert Wolfe, Aylin Caliskan
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models. EMNLP (1) (2021)
Autumn Toney, Aylin Caliskan
ValNorm: A New Word Embedding Intrinsic Evaluation Method Reveals Valence Biases are Consistent Across Languages and Over Decades. CoRR (2020)
Ryan Steed, Aylin Caliskan
Machines Learn Appearance Bias in Face Recognition. CoRR (2020)
Ryan Steed, Aylin Caliskan
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases. CoRR (2020)
Wei Guo, Aylin Caliskan
Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases. CoRR (2020)
Autumn Toney, Akshat Pandey, Wei Guo, David A. Broniatowski, Aylin Caliskan
Pro-Russian Biases in Anti-Chinese Tweets about the Novel Coronavirus. CoRR (2020)
Akshat Pandey, Aylin Caliskan
Iterative Effect-Size Bias in Ridehailing: Measuring Social Bias in Dynamic Pricing of 100 Million Rides. CoRR (2020)
Edwin Dauber, Aylin Caliskan, Richard E. Harang, Gregory Shearer, Michael J. Weisman, Frederica Free-Nelson, Rachel Greenstadt
Git Blame Who?: Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments. Proc. Priv. Enhancing Technol. 2019 (3) (2019)
Aylin Caliskan, Burcu Karaöz
Can market indicators forecast the port throughput? Int. J. Data Min. Model. Manag. 11 (1) (2019)
Edwin Dauber, Aylin Caliskan, Richard E. Harang, Rachel Greenstadt
Git blame who?: stylistic authorship attribution of small, incomplete source code fragments. ICSE (Companion Volume) (2018)
Aylin Caliskan, Fabian Yamaguchi, Edwin Dauber, Richard E. Harang, Konrad Rieck, Rachel Greenstadt, Arvind Narayanan
When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries. NDSS (2018)
Aylin Caliskan
Beyond Big Data: What Can We Learn from AI Models?: Invited Keynote. AISec@CCS (2017)
Ariel Stolerman, Aylin Caliskan, Rachel Greenstadt
From Language to Family and Back: Native Language and Language Family Identification from English Text. HLT-NAACL (2013)
Aylin Caliskan, Rachel Greenstadt
Translate Once, Translate Twice, Translate Thrice and Attribute: Identifying Authors and Machine Translation Tools in Translated Text. ICSC (2012)
Andrew W. E. McDonald, Sadia Afroz, Aylin Caliskan, Ariel Stolerman, Rachel Greenstadt
Use Fewer Instances of the Letter "i": Toward Writing Style Anonymization. Privacy Enhancing Technologies (2012)