Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"

2 February 2023

Papers citing "Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service""

20 / 20 papers shown

Title
BiasGuard: Guardrailing Fairness in Machine Learning Production Systems Nurit Cohen-Inger Seffi Cohen Neomi Rabaev L. Rokach Bracha Shapira 31 1 0 07 Jan 2025
Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach Sourojit Ghosh Pranav Narayanan Venkit Sanjana Gautam Shomir Wilson Aylin Caliskan 27 9 0 20 Jul 2024
Blind Spots and Biases: Exploring the Role of Annotator Cognitive Biases in NLP Sanjana Gautam Mukund Srinath 21 6 0 29 Apr 2024
A Design Space for Intelligent and Interactive Writing Assistants Mina Lee Katy Ilonka Gero John Joon Young Chung S. Buckingham Shum Vipul Raheja ... Joonsuk Park Roy Pea Eugenia H. Rho Shannon Zejiang Shen Pao Siangliulue 23 79 0 21 Mar 2024
Fairness Concerns in App Reviews: A Study on AI-based Mobile Apps A. R. Nasab Maedeh Dashti Mojtaba Shahin Mansooreh Zahedi Hourieh Khalajzadeh Chetan Arora Peng Liang 16 3 0 16 Jan 2024
The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis Pranav Narayanan Venkit Mukund Srinath Sanjana Gautam Saranya Venkatraman Vipul Gupta R. Passonneau Shomir Wilson 21 7 0 18 Oct 2023
CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias Vipul Gupta Pranav Narayanan Venkit Hugo Laurenccon Shomir Wilson R. Passonneau 19 5 0 24 Aug 2023
Automated Ableism: An Exploration of Explicit Disability Biases in Sentiment and Toxicity Analysis Models Pranav Narayanan Venkit Mukund Srinath Shomir Wilson 17 17 0 18 Jul 2023
Investigating Practices and Opportunities for Cross-functional Collaboration around AI Fairness in Industry Practice Wesley Hanwen Deng Nuri Yildirim Monica Chang Motahhare Eslami Kenneth Holstein Michael A. Madaio 12 42 0 10 Jun 2023
Trustworthy, responsible, ethical AI in manufacturing and supply chains: synthesis and emerging research questions Alexandra Brintrup George Baryannis Ashutosh Tiwari S. Ratchev Giovanna Martínez-Arellano Jatinder Singh 16 3 0 19 May 2023
A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI Mohammad Tahaei Marios Constantinides Daniele Quercia Michael J. Muller AI4TS 30 7 0 10 Feb 2023
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits Wesley Hanwen Deng Manish Nagireddy M. S. Lee Jatinder Singh Zhiwei Steven Wu Kenneth Holstein Haiyi Zhu 31 85 0 13 May 2022
FairAutoML: Embracing Unfairness Mitigation in AutoML Qingyun Wu Chi Wang FaML 31 5 0 11 Nov 2021
One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision Zaid Khan Y. Fu 131 51 0 03 Feb 2021
Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems Joshua A. Kroll 71 42 0 23 Jan 2021
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows Doris Xin Eva Yiwei Wu D. Lee Niloufar Salehi Aditya G. Parameswaran 46 91 0 13 Jan 2021
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI Dakuo Wang Justin D. Weisz Michael J. Muller Parikshit Ram Werner Geyer Casey Dugan Y. Tausczik Horst Samulowitz Alexander G. Gray 156 312 0 05 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 730 0 13 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016