Manifestations of Xenophobia in AI Systems

15 December 2022

Iason Gabriel

Papers citing "Manifestations of Xenophobia in AI Systems"

50 / 115 papers shown

Title
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 316 4,873 0 24 Feb 2021
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information Pranjal Awasthi Alex Beutel Matthaeus Kleindessner Jamie Morgenstern Xuezhi Wang FaML 56 57 0 16 Feb 2021
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities Nenad Tomašev Kevin R. McKee Jackie Kay Shakir Mohamed FaML 32 86 0 03 Feb 2021
Persistent Anti-Muslim Bias in Large Language Models Abubakar Abid Maheen Farooqi James Zou AILaw 73 545 0 14 Jan 2021
Measuring Recommender System Effects with Simulated Users Sirui Yao Yoni Halpern Nithum Thain Xuezhi Wang Kang Lee Flavien Prost Ed H. Chi Jilin Chen Alex Beutel 66 49 0 12 Jan 2021
HateCheck: Functional Tests for Hate Speech Detection Models Paul Röttger B. Vidgen Dong Nguyen Zeerak Talat Helen Z. Margetts J. Pierrehumbert 50 263 0 31 Dec 2020
Adversarial Threats to DeepFake Detection: A Practical Perspective Paarth Neekhara Brian Dolhansky Joanna Bitton Cristian Canton Ferrer AAML 21 81 0 19 Nov 2020
Explainability for fair machine learning T. Begley Tobias Schwedes Christopher Frye Ilya Feige FaML FedML 21 48 0 14 Oct 2020
UnQovering Stereotyping Biases via Underspecified Questions Tao Li Tushar Khot Daniel Khashabi Ashish Sabharwal Vivek Srikumar 34 134 0 06 Oct 2020
Detecting White Supremacist Hate Speech using Domain Specific Word Embedding with Deep Learning and BERT Hind S. Alatawi Areej M. Alhothali K. Moria 27 86 0 01 Oct 2020
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models Nikita Nangia Clara Vania Rasika Bhalerao Samuel R. Bowman 81 660 0 30 Sep 2020
The Radicalization Risks of GPT-3 and Advanced Neural Language Models Kris McGuffie Alex Newhouse 44 150 0 15 Sep 2020
TweepFake: about Detecting Deepfake Tweets T. Fagni Fabrizio Falchi Margherita Gambini Antonio Martella Maurizio Tesconi 74 220 0 31 Jul 2020
Ensuring Fairness Beyond the Training Data Debmalya Mandal Samuel Deng Suman Jana Jeannette M. Wing Daniel J. Hsu FaML OOD 35 59 0 12 Jul 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data Debarghya Mukherjee Mikhail Yurochkin Moulinath Banerjee Yuekai Sun FaML 43 96 0 19 Jun 2020
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems Preetam Nandy Cyrus DiCiccio Divya Venugopalan Heloise Logan Kinjal Basu N. Karoui FaML 39 30 0 19 Jun 2020
Demoting Racial Bias in Hate Speech Detection Mengzhou Xia Anjalie Field Yulia Tsvetkov 48 121 0 25 May 2020
Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation Jungseock Joo Kimmo Karkkainen 30 48 0 21 May 2020
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics Donald Martin Vinodkumar Prabhakaran Jill A. Kuhlberg A. Smart William S. Isaac FaML 28 62 0 15 May 2020
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation Aditya Siddhant Ankur Bapna Yuan Cao Orhan Firat Mengzhao Chen Sneha Kudugunta N. Arivazhagan Yonghui Wu 50 86 0 11 May 2020
StereoSet: Measuring stereotypical bias in pretrained language models Moin Nadeem Anna Bethke Siva Reddy 69 979 0 20 Apr 2020
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets Angelina Wang Alexander Liu Ryan Zhang Anat Kleiman Leslie Kim Dora Zhao Iroha Shirai Arvind Narayanan Olga Russakovsky 52 189 0 16 Apr 2020
Deep Learning Models for Multilingual Hate Speech Detection Sai Saket Aluru Binny Mathew Punyajoy Saha Animesh Mukherjee 31 150 0 14 Apr 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 42 340 0 14 Feb 2020
Metric-Free Individual Fairness in Online Learning Yahav Bechavod Christopher Jung Zhiwei Steven Wu FaML 14 49 0 13 Feb 2020
Weak Supervision for Fake News Detection via Reinforcement Learning Yaqing Wang Weifeng Yang Fenglong Ma Jin Xu Bin Zhong Qiang Deng Jing Gao OffRL 108 128 0 28 Dec 2019
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation Po-Sen Huang Huan Zhang Ray Jiang Robert Stanforth Johannes Welbl Jack W. Rae Vishal Maini Dani Yogatama Pushmeet Kohli 49 211 0 08 Nov 2019
The Deepfake Detection Challenge (DFDC) Preview Dataset Brian Dolhansky Russ Howes Ben Pflaum Nicole Baram Cristian Canton Ferrer 49 494 0 19 Oct 2019
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations Po-Yao (Bernie) Huang Xiaojun Chang Alexander G. Hauptmann 92 25 0 30 Sep 2019
What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems Javier Sánchez-Monedero L. Dencik L. Edwards 43 132 0 28 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 482 4,308 0 23 Aug 2019
Counterfactual Reasoning for Fair Clinical Risk Prediction Stephen Pfohl Tony Duan D. Ding N. Shah OOD CML 42 57 0 14 Jul 2019
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding Niki Kilbertus Philip J. Ball Matt J. Kusner Adrian Weller Ricardo M. A. Silva 39 58 0 01 Jul 2019
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices Manish Raghavan Solon Barocas Jon M. Kleinberg K. Levy MLAU FaML 55 516 0 21 Jun 2019
Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology Ran Zmigrod Sabrina J. Mielke Hanna M. Wallach Ryan Cotterell 42 279 0 11 Jun 2019
Proposed Guidelines for the Responsible Use of Explainable Machine Learning Patrick Hall Navdeep Gill N. Schmidt SILM XAI FaML 23 28 0 08 Jun 2019
Metric Learning for Individual Fairness Christina Ilvento FaML 51 97 0 01 Jun 2019
Revisiting Low-Resource Neural Machine Translation: A Case Study Rico Sennrich Biao Zhang 53 223 0 28 May 2019
Efficient candidate screening under multiple tests and implications for fairness Lee Cohen Zachary Chase Lipton Yishay Mansour 36 32 0 27 May 2019
An Algorithmic Framework for Fairness Elicitation Christopher Jung Michael Kearns Seth Neel Aaron Roth Logan Stapleton Zhiwei Steven Wu FedML FaML 40 56 0 25 May 2019
Average Individual Fairness: Algorithms, Generalization and Experiments Michael Kearns Aaron Roth Saeed Sharifi-Malvajerdi FaML FedML 93 85 0 25 May 2019
Contrastive Fairness in Machine Learning Tapabrata (Rohan) Chakraborty A. Patra Alison Noble FaML 86 8 0 17 May 2019
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning Ángel Alexander Cabrera Will Epperson Fred Hohman Minsuk Kahng Jamie Morgenstern Duen Horng Chau FaML 72 184 0 10 Apr 2019
Massively Multilingual Neural Machine Translation Roee Aharoni Melvin Johnson Orhan Firat LRM AI4CE 56 485 0 28 Feb 2019
Degenerate Feedback Loops in Recommender Systems Ray Jiang Silvia Chiappa Tor Lattimore András Gyorgy Pushmeet Kohli 23 195 0 27 Feb 2019
Individual Fairness in Hindsight Swati Gupta Vijay Kamble FaML 40 63 0 10 Dec 2018
ATM:Adversarial-neural Topic Model Rui Wang Deyu Zhou Yulan He BDL GAN 27 90 0 01 Nov 2018
Model Cards for Model Reporting Margaret Mitchell Simone Wu Andrew Zaldivar Parker Barnes Lucy Vasserman Ben Hutchinson Elena Spitzer Inioluwa Deborah Raji Timnit Gebru 93 1,869 0 05 Oct 2018
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning Kashyap Popat Subhabrata Mukherjee Andrew Yates Gerhard Weikum HILM 50 300 0 17 Sep 2018
Meta-Learning for Low-Resource Neural Machine Translation Jiatao Gu Yong Wang Yun Chen Kyunghyun Cho Victor O.K. Li 72 342 0 25 Aug 2018