Aylin Caliskan
Orcid: 0000-0001-7154-8629
According to our database1,
Aylin Caliskan
authored at least 46 papers
between 2012 and 2023.
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Bibliography
2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Bias Against 93 Stigmatized Groups in Masked Language Models and Downstream Sentiment Classification Tasks.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023
Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
'Person' == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Evaluating Biased Attitude Associations of Language Models in an Intersectional Context.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
ChatGPT Perpetuates Gender Bias in Machine Translation and Ignores Non-Gendered Pronouns: Findings across Bengali and Five other Low-Resource Languages.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023
2022
Proc. Priv. Enhancing Technol., 2022
Detecting Emerging Associations and Behaviors With Regional and Diachronic Word Embeddings.
Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022
Measuring Gender Bias in Word Embeddings of Gendered Languages Requires Disentangling Grammatical Gender Signals.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022
Gender Bias in Word Embeddings: A Comprehensive Analysis of Frequency, Syntax, and Semantics.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
J. Enterp. Inf. Manag., 2021
A set of distinct facial traits learned by machines is not predictive of appearance bias in the wild.
AI Ethics, 2021
Automatically Characterizing Targeted Information Operations Through Biases Present in Discourse on Twitter.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases.
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
ValNorm Quantifies Semantics to Reveal Consistent Valence Biases Across Languages and Over Centuries.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Disparate Impact of Artificial Intelligence Bias in Ridehailing Economy's Price Discrimination Algorithms.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
2020
Iterative Effect-Size Bias in Ridehailing: Measuring Social Bias in Dynamic Pricing of 100 Million Rides.
CoRR, 2020
ValNorm: A New Word Embedding Intrinsic Evaluation Method Reveals Valence Biases are Consistent Across Languages and Over Decades.
CoRR, 2020
2019
Git Blame Who?: Stylistic Authorship Attribution of Small, Incomplete Source Code Fragments.
Proc. Priv. Enhancing Technol., 2019
Int. J. Data Min. Model. Manag., 2019
2018
When Coding Style Survives Compilation: De-anonymizing Programmers from Executable Binaries.
Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018
Git blame who?: stylistic authorship attribution of small, incomplete source code fragments.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018
2017
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017
2016
Semantics derived automatically from language corpora necessarily contain human biases.
CoRR, 2016
2015
Proceedings of the 24th USENIX Security Symposium, 2015
2014
Privacy Detective: Detecting Private Information and Collective Privacy Behavior in a Large Social Network.
Proceedings of the 13th Workshop on Privacy in the Electronic Society, 2014
Proceedings of the 2014 IEEE Symposium on Security and Privacy, 2014
2013
Proceedings of the Third Workshop on Socio-Technical Aspects in Security and Trust, 2013
From Language to Family and Back: Native Language and Language Family Identification from English Text.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013
2012
Translate Once, Translate Twice, Translate Thrice and Attribute: Identifying Authors and Machine Translation Tools in Translated Text.
Proceedings of the Sixth IEEE International Conference on Semantic Computing, 2012
Proceedings of the Privacy Enhancing Technologies - 12th International Symposium, 2012