Ben Hutchinson

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 40

Top Venues

CoRR

FAccT

AIES

FAT

University of Edinburgh, UK (PHD)

Education History

University of Edinburgh, UK

PHD

Publications

Ned Cooper, Courtney Heldreth, Ben Hutchinson
"It's how you do things that matters": Attending to Process to Better Serve Indigenous Communities with Language Technologies. EACL (2) (2024)
Ned Cooper, Courtney Heldreth, Ben Hutchinson
"It's how you do things that matters": Attending to Process to Better Serve Indigenous Communities with Language Technologies. CoRR (2024)
Ben Hutchinson
Modeling the Sacred: Considerations when Using Considerations when Using Religious Texts in Natural Language Processing. CoRR (2024)
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24 (2023)
Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine Heller, Vinodkumar Prabhakaran
Evaluation Gaps in Machine Learning Practice. FAccT (2022)
Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, YaGuang Li, Hongrae Lee, Huaixiu Steven Zheng, Amin Ghafouri, Marcelo Menegali, Yanping Huang, Maxim Krikun, Dmitry Lepikhin, James Qin, Dehao Chen, Yuanzhong Xu, Zhifeng Chen, Adam Roberts, Maarten Bosma, Yanqi Zhou, Chung-Ching Chang, Igor Krivokon, Will Rusch, Marc Pickett, Kathleen S. Meier-Hellstern, Meredith Ringel Morris, Tulsee Doshi, Renelito Delos Santos, Toju Duke, Johnny Soraker, Ben Zevenbergen, Vinodkumar Prabhakaran, Mark Diaz, Ben Hutchinson, Kristen Olson, Alejandra Molina, Erin Hoffman-John, Josh Lee, Lora Aroyo, Ravi Rajakumar, Alena Butryna, Matthew Lamm, Viktoriya Kuzmina, Joe Fenton, Aaron Cohen, Rachel Bernstein, Ray Kurzweil, Blaise Aguera-Arcas, Claire Cui, Marian Croak, Ed Chi, Quoc Le
LaMDA: Language Models for Dialog Applications. CoRR (2022)
Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, Ben Hutchinson, Wei Han, Zarana Parekh, Xin Li, Han Zhang, Jason Baldridge, Yonghui Wu
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation. Trans. Mach. Learn. Res. 2022 (2022)
Ben Hutchinson, Jason Baldridge, Vinodkumar Prabhakaran
Underspecification in Scene Description-to-Depiction Tasks. CoRR (2022)
Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, Ben Hutchinson, Wei Han, Zarana Parekh, Xin Li, Han Zhang, Jason Baldridge, Yonghui Wu
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation. CoRR (2022)
Vinodkumar Prabhakaran, Rida Qadri, Ben Hutchinson
Cultural Incongruencies in Artificial Intelligence. CoRR (2022)
Ben Hutchinson, Jason Baldridge, Vinodkumar Prabhakaran
Underspecification in Scene Description-to-Depiction Tasks. AACL/IJCNLP (1) (2022)
Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran
Evaluation Gaps in Machine Learning Practice. CoRR (2022)
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel
PaLM: Scaling Language Modeling with Pathways. CoRR (2022)
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. FAccT (2021)
Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran
Thinking Beyond Distributions in Testing Machine Learned Models. CoRR (2021)
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran
Re-imagining Algorithmic Fairness in India and Beyond. FAccT (2021)
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Tulsee Doshi, Vinodkumar Prabhakaran
Re-imagining Algorithmic Fairness in India and Beyond. CoRR (2021)
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
Advances and Open Problems in Federated Learning. Found. Trends Mach. Learn. 14 (1-2) (2021)
Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure. CoRR (2020)
Margaret Mitchell, Dylan Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern
Diversity and Inclusion Metrics in Subset Selection. AIES (2020)
Nithya Sambasivan, Erin Arnesen, Ben Hutchinson, Vinodkumar Prabhakaran
Non-portability of Algorithmic Fairness in India. CoRR (2020)
Margaret Mitchell, Dylan Baker, Nyalleng Moorosi, Emily Denton, Ben Hutchinson, Alex Hanna, Timnit Gebru, Jamie Morgenstern
Diversity and Inclusion Metrics in Subset Selection. CoRR (2020)
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl
Social Biases in NLP Models as Barriers for Persons with Disabilities. ACL (2020)
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl
Social Biases in NLP Models as Barriers for Persons with Disabilities. CoRR (2020)
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes
Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing. CoRR (2020)
Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, Stephen Denuyl
Unintended machine learning biases as social barriers for persons with disabilitiess. ACM SIGACCESS Access. Comput. 125 (2020)
Angie Peng, Jeff Naecker, Ben Hutchinson, Andrew Smart, Nyalleng Moorosi
Fairness Preferences, Actual and Hypothetical: A Study of Crowdworker Incentives. CoRR (2020)
Inioluwa Deborah Raji, Andrew Smart, Rebecca N. White, Margaret Mitchell, Timnit Gebru, Ben Hutchinson, Jamila Smith-Loud, Daniel Theron, Parker Barnes
Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing. FAT* (2020)
Andrew Smart, Larry James, Ben Hutchinson, Simone Wu, Shannon Vallor
Why Reliabilism Is not Enough: Epistemic and Moral Justification in Machine Learning. AIES (2020)
Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell
Perturbation Sensitivity Analysis to Detect Unintended Model Biases. EMNLP/IJCNLP (1) (2019)
Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. KDD (2019)
Ben Hutchinson, K. J. Pittl, Margaret Mitchell
Interpreting Social Respect: A Normative Lens for ML Models. CoRR (2019)
Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, Timnit Gebru
Model Cards for Model Reporting. FAT (2019)
Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. WWW (Companion Volume) (2019)
Ben Hutchinson, Margaret Mitchell
50 Years of Test (Un)fairness: Lessons for Machine Learning. FAT (2019)
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
Advances and Open Problems in Federated Learning. CoRR (2019)
Vinodkumar Prabhakaran, Ben Hutchinson, Margaret Mitchell
Perturbation Sensitivity Analysis to Detect Unintended Model Biases. CoRR (2019)
Emily Denton, Ben Hutchinson, Margaret Mitchell, Timnit Gebru
Detecting Bias with Generative Counterfactual Face Attribute Augmentation. CoRR (2019)
Ben Hutchinson, Margaret Mitchell
50 Years of Test (Un)fairness: Lessons for Machine Learning. CoRR (2018)
Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, Timnit Gebru
Model Cards for Model Reporting. CoRR (2018)
Casey Whitelaw, Ben Hutchinson, Grace Chung, Ged Ellis
Using the Web for Language Independent Spellchecking and Autocorrection. EMNLP (2009)
Dominique Estival, Tanja Gaustad, Son Bao Pham, Will Radford, Ben Hutchinson
TAT: An Author Profiling Tool with Application to Arabic Emails. ALTA (2007)
Ben Hutchinson
Modelling the Substitutability of Discourse Connectives. ACL (2005)
Ben Hutchinson
MDL-based Acquisition of Substitutability Relationships between Discourse Connectives. IJCAI (2005)
Ben Hutchinson
Acquiring the Meaning of Discourse Markers. ACL (2004)
Ben Hutchinson
Mining the Web for Discourse Markers. LREC (2004)
Ben Hutchinson, Cecile Pereira
Um, one large pizza. A preliminary study of disfluency modelling for improving ASR. DiSS (2001)
Ben Hutchinson
A functional approach to speech recognition evaluation. INTERSPEECH (2001)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ben Hutchinson