Inioluwa Deborah Raji

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All published works
Action Title Year Authors
+ PDF Chat AI auditing: The Broken Bus on the Road to AI Accountability 2024 Abeba Birhane
Ryan Steed
Victor Ojewale
Briana Vecchione
Inioluwa Deborah Raji
+ PDF Chat Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling 2024 Victor Ojewale
Ryan Steed
Briana Vecchione
Abeba Birhane
Inioluwa Deborah Raji
+ PDF Chat AI auditing: The Broken Bus on the Road to AI Accountability 2024 Abeba Birhane
Ryan Steed
Victor Ojewale
Briana Vecchione
Inioluwa Deborah Raji
+ Concrete Problems in AI Safety, Revisited 2024 Inioluwa Deborah Raji
Roel Dobbe
+ Organizational Governance of Emerging Technologies: AI Adoption in Healthcare 2023 Jee Young Kim
William Boag
Freya Gulamali
Alifia Hasan
Jeffry Hogg
Mark A. Lifson
Deirdre K. Mulligan
Manesh R. Patel
Inioluwa Deborah Raji
Ajai Sehgal
+ REFORMS: Reporting Standards for Machine Learning Based Science 2023 Sayash Kapoor
Emily M. Cantrell
Kenny Peng
Thanh Hien Pham
Christopher A. Bail
Odd Erik Gundersen
Jake M. Hofman
Jessica Hullman
Michael A. Lones
Momin M. Malik
+ Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance 2022 Inioluwa Deborah Raji
Peggy Xu
Colleen Honigsberg
Daniel E. Ho
+ PDF Chat The Fallacy of AI Functionality 2022 Inioluwa Deborah Raji
I. Elizabeth Kumar
Aaron Horowitz
Andrew D. Selbst
+ PDF Chat Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem 2022 Sasha Costanza-Chock
Inioluwa Deborah Raji
Joy Buolamwini
+ Outsider Oversight: Designing a Third Party Audit Ecosystem for AI Governance 2022 Inioluwa Deborah Raji
Peggy Xu
Colleen Honigsberg
Daniel E. Ho
+ AI and the Everything in the Whole Wide World Benchmark 2021 Inioluwa Deborah Raji
Emily M. Bender
Amandalynne Paullada
Emily Denton
Alex Hanna
+ PDF Chat Data and its (dis)contents: A survey of dataset development and use in machine learning research 2021 Amandalynne Paullada
Inioluwa Deborah Raji
Emily M. Bender
Emily Denton
Alex Hanna
+ About Face: A Survey of Facial Recognition Evaluation 2021 Inioluwa Deborah Raji
Genevieve Fried
+ AI and the Everything in the Whole Wide World Benchmark 2021 Inioluwa Deborah Raji
Emily M. Bender
Amandalynne Paullada
Emily Denton
Alex Hanna
+ Data and its (dis)contents: A survey of dataset development and use in machine learning research 2020 Amandalynne Paullada
Inioluwa Deborah Raji
Emily M. Bender
Emily Denton
Alex Hanna
+ PDF Chat Handle with Care: Lessons for Data Science from Black Female Scholars 2020 Inioluwa Deborah Raji
+ PDF Chat The Discomfort of Death Counts: Mourning through the Distorted Lens of Reported COVID-19 Death Data 2020 Inioluwa Deborah Raji
+ Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing 2020 Inioluwa Deborah Raji
Andrew Smart
Rebecca N. White
Margaret Mitchell
Timnit Gebru
Ben Hutchinson
Jamila Smith-Loud
Daniel Theron
Parker Barnes
+ Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing 2020 Inioluwa Deborah Raji
Timnit Gebru
Margaret Mitchell
Joy Buolamwini
Joonseok Lee
Emily Denton
+ PDF Chat Model Cards for Model Reporting 2019 Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
+ On the Legal Compatibility of Fairness Definitions 2019 Alice Xiang
Inioluwa Deborah Raji
+ ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles 2019 Inioluwa Deborah Raji
Jingying Yang
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Model Cards for Model Reporting 2019 Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
7
+ The Dataset Nutrition Label: A Framework To Drive Higher Data Quality Standards. 2018 Sarah Holland
Ahmed Hosny
Sarah Newman
Joshua Joseph
Kasia Chmielinski
4
+ Lessons from archives: strategies for collecting sociocultural data in machine learning 2020 Eun Seo Jo
Timnit Gebru
4
+ Towards Standardization of Data Licenses: The Montreal Data License 2019 Misha Benjamin
Paul Gagnon
Negar Rostamzadeh
Chris Pal
Yoshua Bengio
Alex Shee
3
+ PDF Chat Improving Fairness in Machine Learning Systems: What Do Industry Practitioners Need? 2019 Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miro Dudík
Hanna Wallach
3
+ Measurement and Fairness 2021 Abigail Z. Jacobs
Hanna Wallach
3
+ PDF Chat Deep Learning Face Attributes in the Wild 2015 Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
3
+ Show Your Work: Improved Reporting of Experimental Results 2019 Jesse Dodge
Suchin Gururangan
Dallas Card
Roy Schwartz
Noah A. Smith
3
+ PDF Chat Large image datasets: A pyrrhic win for computer vision? 2021 Abeba Birhane
Vinay Uday Prabhu
3
+ Social Biases in NLP Models as Barriers for Persons with Disabilities 2020 Ben Hutchinson
Vinodkumar Prabhakaran
Emily Denton
Kellie Webster
Yu Zhong
Stephen Denuyl
3
+ Diversity in Faces. 2019 Michele Merler
Nalini Ratha
Rogério Feris
John R. Smith
3
+ Annotation Artifacts in Natural Language Inference Data 2018 Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
3
+ PDF Chat Value-laden disciplinary shifts in machine learning 2020 Ravit Dotan
Smitha Milli
3
+ Increasing Trust in AI Services through Supplier's Declarations of Conformity 2018 Michael Hind
Sameep Mehta
Aleksandra Mojsilović
Ravi Nair
Karthikeyan Natesan Ramamurthy
Alexandra Olteanu
Kush R. Varshney
3
+ Utility is in the Eye of the User: A Critique of NLP Leaderboards 2020 Kawin Ethayarajh
Dan Jurafsky
2
+ PDF Chat Certifying and Removing Disparate Impact 2015 Michael Feldman
Sorelle A. Friedler
John Moeller
Carlos Scheidegger
Suresh Venkatasubramanian
2
+ PDF Chat Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence 2020 Shakir Mohamed
Marie-Thérèse Png
William Isaac
2
+ No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World 2017 Shreya Shankar
Yoni Halpern
Eric Breck
James Atwood
Jimbo Wilson
D. Sculley
2
+ Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models 2020 Viktor Schlegel
Goran Nenadić
Riza Batista-Navarro
2
+ PDF Chat The Discomfort of Death Counts: Mourning through the Distorted Lens of Reported COVID-19 Death Data 2020 Inioluwa Deborah Raji
2
+ Targeting the Benchmark: On Methodology in Current Natural Language Processing Research 2020 David Schlangen
2
+ PDF Chat Defining AI in Policy versus Practice 2020 P. M. Krafft
Meg Young
Michael Katell
Karen Huang
Ghislain Bugingo
2
+ PDF Chat What BERT Is Not: Lessons from a New Suite of Psycholinguistic Diagnostics for Language Models 2020 Allyson Ettinger
2
+ Adversarial Filters of Dataset Biases 2020 Ronan Le Bras
Swabha Swayamdipta
Chandra Bhagavatula
Rowan Zellers
Matthew E. Peters
Ashish Sabharwal
Yejin Choi
2
+ Measuring Social Biases of Crowd Workers using Counterfactual Queries. 2020 Bhavya Ghai
Q. Vera Liao
Yunfeng Zhang
Klaus Mueller
2
+ PDF Chat ImageNet Large Scale Visual Recognition Challenge 2015 Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
2
+ PDF Chat Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets 2020 Saku Sugawara
Pontus Stenetorp
Kentaro Inui
Akiko Aizawa
2
+ PDF Chat Semantics derived automatically from language corpora contain human-like biases 2017 Aylin Caliskan
Joanna J. Bryson
Arvind Narayanan
2
+ Bringing the People Back In: Contesting Benchmark Machine Learning Datasets 2020 Emily Denton
Alex Hanna
Razvan Amironesei
Andrew Smart
Hilary Nicole
Morgan Klaus Scheuerman
2
+ Learning Machine Learning with Personal Data Helps Stakeholders Ground Advocacy Arguments in Model Mechanics 2020 Yim Register
Amy J. Ko
2
+ PDF Chat Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual 2019 He He
Sheng Zha
Haohan Wang
2
+ PDF Chat Shortcut learning in deep neural networks 2020 Robert Geirhos
Jörn-Henrik Jacobsen
Claudio Michaelis
Richard S. Zemel
Wieland Brendel
Matthias Bethge
Felix A. Wichmann
2
+ PDF Chat Revisiting Unreasonable Effectiveness of Data in Deep Learning Era 2017 Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
2
+ PDF Chat Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints 2017 Jieyu Zhao
Tianlu Wang
Mark Yatskar
Vicente Ordóñez
Kai-Wei Chang
2
+ PDF Chat Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels 2016 Ishan Misra
C. Lawrence Zitnick
Margaret Mitchell
Ross Girshick
2
+ Hypothesis Only Baselines in Natural Language Inference 2018 Adam Poliak
Jason Naradowsky
Aparajita Haldar
Rachel Rudinger
Benjamin Van Durme
2
+ PDF Chat Women Also Snowboard: Overcoming Bias in Captioning Models 2018 Lisa Anne Hendricks
Kaylee Burns
Kate Saenko
Trevor Darrell
Anna Rohrbach
2
+ Equality of Opportunity in Supervised Learning 2016 Moritz Hardt
Eric Price
Nathan Srebro
2
+ PDF Chat The global landscape of AI ethics guidelines 2019 Anna Jobin
Marcello Ienca
Effy Vayena
2
+ Probing Neural Network Comprehension of Natural Language Arguments 2019 Timothy Niven
Hung‐Yu Kao
2
+ Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches 2019 Shane Storks
Qiaozi Gao
Joyce Chai
2
+ PDF Chat WinoGrande: An Adversarial Winograd Schema Challenge at Scale 2020 Keisuke Sakaguchi
Ronan Le Bras
Chandra Bhagavatula
Yejin Choi
2
+ Runaway Feedback Loops in Predictive Policing 2017 Danielle Ensign
Sorelle A. Friedler
Scott Neville
Carlos Scheidegger
Suresh Venkatasubramanian
2
+ PDF Chat Racial categories in machine learning 2019 Sebastian Benthall
Bruce D. Haynes
2
+ PDF Chat Moments in Time Dataset: One Million Videos for Event Understanding 2019 Mathew Monfort
Carl Vondrick
Aude Oliva
Alex Andonian
Bolei Zhou
Kandan Ramakrishnan
Sarah Adel Bargal
Tom Yan
Lisa M. Brown
Quanfu Fan
2
+ FactSheets: Increasing Trust in AI Services through Supplier's Declarations of Conformity 2018 Matthew Arnold
Rachel Bellamy
Michael Hind
Stephanie Houde
Sameep Mehta
Aleksandra Mojsilović
Ravi Nair
Karthikeyan Natesan Ramamurthy
Darrell Reimer
Alexandra Olteanu
2
+ Linking Artificial Intelligence Principles 2018 Yi Zeng
Enmeng Lu
Cunqing Huangfu
2
+ PDF Chat How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks 2018 Divyansh Kaushik
Zachary C. Lipton
2
+ Word embeddings quantify 100 years of gender and ethnic stereotypes 2018 Nikhil Garg
Londa Schiebinger
Dan Jurafsky
James Zou
2
+ Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods 2018 Jieyu Zhao
Tianlu Wang
Mark Yatskar
Vicente Ordóñez
Kai-Wei Chang
2