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Aylin Caliskan

Showing results (1-10 of 17) with videos related to

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PNAS Nexus|November 26, 2024
Directionality and representativeness are differentiable components of stereotypes in large language modelsGandalf Nicolas, Aylin Caliskan
AI and Ethics|May 12, 2025
Safeguarding human values: rethinking US law for generative AI's societal impactsInyoung Cheong, Aylin Caliskan, Tadayoshi Kohno
Computational and Structural Biotechnology Journal|October 20, 2023
Metadata integrity in bioinformatics: Bridging the gap between data and knowledgeAylin Caliskan, Seema Dangwal, Thomas Dandekar
Science (New York, N.Y.)|April 15, 2017
Semantics derived automatically from language corpora contain human-like biasesAylin Caliskan, Joanna J Bryson, Arvind Narayanan
Computational and Structural Biotechnology Journal|August 18, 2025
gSELECT: A novel pre-analysis machine-learning library enabling early hypothesis testing and predictive gene selection in single-cell dataDeniz Caliskan, Aylin Caliskan, Thomas Dandekar, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 5, 2022
Historical representations of social groups across 200 years of word embeddings from Google BooksTessa E S Charlesworth, Aylin Caliskan, Mahzarin R Banaji
Proceedings of the National Academy of Sciences of the United States of America|August 20, 2024
ChatGPT as Research Scientist: Probing GPT's capabilities as a Research Librarian, Research Ethicist, Data Generator, and Data PredictorSteven A Lehr, Aylin Caliskan, Suneragiri Liyanage, et al.
Plos One|April 17, 2024
An orchestra of machine learning methods reveals landmarks in single-cell data exemplified with aging fibroblastsLauritz Rasbach, Aylin Caliskan, Fatemeh Saderi, et al.
PNAS Nexus|March 20, 2024
Extracting intersectional stereotypes from embeddings: Developing and validating the Flexible Intersectional Stereotype Extraction procedureTessa E S Charlesworth, Kshitish Ghate, Aylin Caliskan, et al.
Computational and Structural Biotechnology Journal|June 19, 2023
Optimized cell type signatures revealed from single-cell data by combining principal feature analysis, mutual information, and machine learningAylin Caliskan, Deniz Caliskan, Lauritz Rasbach, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
PNAS Nexus|November 26, 2024
Directionality and representativeness are differentiable components of stereotypes in large language modelsGandalf Nicolas, Aylin Caliskan
AI and Ethics|May 12, 2025
Safeguarding human values: rethinking US law for generative AI's societal impactsInyoung Cheong, Aylin Caliskan, Tadayoshi Kohno
Computational and Structural Biotechnology Journal|October 20, 2023
Metadata integrity in bioinformatics: Bridging the gap between data and knowledgeAylin Caliskan, Seema Dangwal, Thomas Dandekar
Science (New York, N.Y.)|April 15, 2017
Semantics derived automatically from language corpora contain human-like biasesAylin Caliskan, Joanna J Bryson, Arvind Narayanan
Computational and Structural Biotechnology Journal|August 18, 2025
gSELECT: A novel pre-analysis machine-learning library enabling early hypothesis testing and predictive gene selection in single-cell dataDeniz Caliskan, Aylin Caliskan, Thomas Dandekar, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 5, 2022
Historical representations of social groups across 200 years of word embeddings from Google BooksTessa E S Charlesworth, Aylin Caliskan, Mahzarin R Banaji
Proceedings of the National Academy of Sciences of the United States of America|August 20, 2024
ChatGPT as Research Scientist: Probing GPT's capabilities as a Research Librarian, Research Ethicist, Data Generator, and Data PredictorSteven A Lehr, Aylin Caliskan, Suneragiri Liyanage, et al.
Plos One|April 17, 2024
An orchestra of machine learning methods reveals landmarks in single-cell data exemplified with aging fibroblastsLauritz Rasbach, Aylin Caliskan, Fatemeh Saderi, et al.
PNAS Nexus|March 20, 2024
Extracting intersectional stereotypes from embeddings: Developing and validating the Flexible Intersectional Stereotype Extraction procedureTessa E S Charlesworth, Kshitish Ghate, Aylin Caliskan, et al.
Computational and Structural Biotechnology Journal|June 19, 2023
Optimized cell type signatures revealed from single-cell data by combining principal feature analysis, mutual information, and machine learningAylin Caliskan, Deniz Caliskan, Lauritz Rasbach, et al.
Pageof 2