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Fairness in AI and Its Long-Term Implications on Society

16 April 2023

Ondrej Bohdal

Timothy M. Hospedales

Philip Torr

Fazl Barez

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Papers citing "Fairness in AI and Its Long-Term Implications on Society"

31 / 31 papers shown

Title
Feed-Forward Source-Free Domain Adaptation via Class Prototypes Ondrej Bohdal Da Li Timothy M. Hospedales VLM TTA CLL 56 3 0 20 Jul 2023
Neuron to Graph: Interpreting Language Model Neurons at Scale Alex Foote Neel Nanda Esben Kran Ioannis Konstas Shay B. Cohen Fazl Barez MILM 75 26 0 31 May 2023
System III: Learning with Domain Knowledge for Safety Constraints Fazl Barez Hosien Hasanbieg Alesandro Abbate 63 4 0 23 Apr 2023
Fairness and Accuracy under Domain Generalization Thai-Hoang Pham Xueru Zhang Ping Zhang 92 23 0 30 Jan 2023
Feed-Forward Latent Domain Adaptation Ondrej Bohdal Da Li S. Hu Timothy M. Hospedales OOD 61 1 0 15 Jul 2022
X-Risk Analysis for AI Research Dan Hendrycks Mantas Mazeika 69 71 0 13 Jun 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 82 118 0 06 May 2022
LaMDA: Language Models for Dialog Applications R. Thoppilan Daniel De Freitas Jamie Hall Noam M. Shazeer Apoorv Kulshreshtha ... Blaise Aguera-Arcas Claire Cui M. Croak Ed H. Chi Quoc Le ALM 140 1,601 0 20 Jan 2022
Simple data balancing achieves competitive worst-group-accuracy Badr Youbi Idrissi Martín Arjovsky Mohammad Pezeshki David Lopez-Paz 118 183 0 27 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 244 294 0 28 Sep 2021
EnD: Entangling and Disentangling deep representations for bias correction Enzo Tartaglione C. Barbano Marco Grangetto 78 124 0 02 Mar 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 301 458 0 17 Feb 2021
Impact of Data Processing on Fairness in Supervised Learning S. Khodadadian AmirEmad Ghassami Negar Kiyavash FaML 36 6 0 03 Feb 2021
Source-free Domain Adaptation via Distributional Alignment by Matching Batch Normalization Statistics Masato Ishii Masashi Sugiyama OOD 52 41 0 19 Jan 2021
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 199 1,358 0 03 Oct 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 91 1,156 0 02 Jul 2020
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 99 482 0 30 Jun 2020
Fairness without Demographics through Adversarially Reweighted Learning Preethi Lahoti Alex Beutel Jilin Chen Kang Lee Flavien Prost Nithum Thain Xuezhi Wang Ed H. Chi FaML 129 338 0 23 Jun 2020
Universal Source-Free Domain Adaptation Jogendra Nath Kundu Naveen Venkat V. RahulM. R. Venkatesh Babu VLM TTA 77 344 0 09 Apr 2020
Fairness by Learning Orthogonal Disentangled Representations Mhd Hasan Sarhan Nassir Navab Abouzar Eslami Shadi Albarqouni FaML OOD CML 89 97 0 12 Mar 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 116 1,250 0 20 Feb 2020
Transfer of Machine Learning Fairness across Domains Candice Schumann Xuezhi Wang Alex Beutel Jilin Chen Hai Qian Ed H. Chi 58 70 0 24 Jun 2019
Efficient candidate screening under multiple tests and implications for fairness Lee Cohen Zachary Chase Lipton Yishay Mansour 49 32 0 27 May 2019
MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs Alistair E. W. Johnson Tom Pollard Nathaniel R. Greenbaum M. Lungren Chih-ying Deng Yifan Peng Zhiyong Lu R. Mark Seth Berkowitz Steven Horng MedIm 98 821 0 21 Jan 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 118 2,604 0 21 Jan 2019
Bias Amplification in Artificial Intelligence Systems Kirsten Lloyd 35 43 0 20 Sep 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 382 685 0 17 Feb 2018
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 233 4,337 0 07 Oct 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 244 2,404 0 21 Jun 2016
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 247 8,426 0 28 Nov 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 388 25,691 0 09 Jun 2011