相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Use of artificial intelligence for gender bias analysis in letters of recommendation for general surgery residency candidates
Daniel Sarraf et al.
AMERICAN JOURNAL OF SURGERY (2021)
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi et al.
ACM COMPUTING SURVEYS (2021)
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
Keisuke Sakaguchi et al.
COMMUNICATIONS OF THE ACM (2021)
SensitiveNets: Learning Agnostic Representations with Application to Face Images
Aythami Morales et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2021)
Investigating gender fairness of recommendation algorithms in the music domain
Alessandro B. Melchiorre et al.
INFORMATION PROCESSING & MANAGEMENT (2021)
Gender Bias and Under-Representation in Natural Language Processing Across Human Languages
Yan Chen et al.
AIES '21: PROCEEDINGS OF THE 2021 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY (2021)
What's Fair about Individual Fairness?
Will Fleisher
AIES '21: PROCEEDINGS OF THE 2021 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY (2021)
Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases
Wei Guo et al.
AIES '21: PROCEEDINGS OF THE 2021 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY (2021)
DENOUNCER: Detection of Unfairness in Classifiers
Jinyang Li et al.
PROCEEDINGS OF THE VLDB ENDOWMENT (2021)
Federated Adversarial Debiasing for Fair and Transferable Representations
Junyuan Hong et al.
KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2021)
Gender Bias in Machine Translation
Beatrice Savoldi et al.
TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (2021)
User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms
Ningxia Wang et al.
15TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS 2021) (2021)
Digital Enterprise Technologies: Do Enterprise Control and Automation Technologies Reinforce Gender Biases and Marginalisation?
N. Donnelly et al.
IFAC PAPERSONLINE (2021)
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
Ignacio Serna et al.
2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR) (2021)
WhatWe Can't Measure, We Can't Understand: Challenges to Demographic Data Procurement in the Pursuit of Fairness
McKane Andrus et al.
PROCEEDINGS OF THE 2021 ACM CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, FACCT 2021 (2021)
Assessing gender bias in machine translation: a case study with Google Translate
Marcelo O. R. Prates et al.
NEURAL COMPUTING & APPLICATIONS (2020)
A group of industry, academic, and government experts convene in Philadelphia to explore the roots of algorithmic bias
Alexandra Chouldechova et al.
COMMUNICATIONS OF THE ACM (2020)
Female Librarians and Male Computer Programmers? Gender Bias in Occupational Images on Digital Media Platforms
Vivek K. Singh et al.
JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2020)
Bias and ethical considerations in machine learning and the automation of perioperative risk assessment
Vikas N. O'Reilly-Shah et al.
BRITISH JOURNAL OF ANAESTHESIA (2020)
Do Neural Ranking Models Intensify Gender Bias?
Navid Rekabsaz et al.
PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20) (2020)
Quantifying Gender Bias in Different Corpora
Marzieh Babaeianjelodar et al.
WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020 (2020)
A Unifying Framework for Fairness-Aware Influence Maximization
Golnoosh Farnadi et al.
WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020 (2020)
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Manish Raghavan et al.
FAT* '20: PROCEEDINGS OF THE 2020 CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY (2020)
Toward Situated Interventions for Algorithmic Equity: Lessons from the Field
Michael Katell et al.
FAT* '20: PROCEEDINGS OF THE 2020 CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY (2020)
It's Not Just Black and White: Classifying Defendant Mugshots Based on the Multidimensionality of Race and Ethnicity
Rahul Kumar Dass et al.
2020 17TH CONFERENCE ON COMPUTER AND ROBOT VISION (CRV 2020) (2020)
Mitigating Algorithmic Bias: Evolving an Augmentation Policy that is Non-Biasing
Philip Smith et al.
2020 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION WORKSHOPS (WACVW) (2020)
Investigating Bias in Facial Analysis Systems: A Systematic Review
Ashraf Khalil et al.
IEEE ACCESS (2020)
Hacking the Cis-tem Transgender Citizens and the Early Digital State
Marie Hicks
IEEE ANNALS OF THE HISTORY OF COMPUTING (2019)
Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads
Anja Lambrecht et al.
MANAGEMENT SCIENCE (2019)
Unintended Consequences of Biased Robotic and Artificial Intelligence Systems
Ludovic Righetti et al.
IEEE ROBOTICS & AUTOMATION MAGAZINE (2019)
Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
Maria De-Arteaga et al.
FAT*'19: PROCEEDINGS OF THE 2019 CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY (2019)
Fairness across Network Positions in Cyberbullying Detection Algorithms
Vivek K. Singh et al.
PROCEEDINGS OF THE 2019 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2019) (2019)
Epistemic Therapy for Bias in Automated Decision-Making
Thomas Krendl Gilbert et al.
AIES '19: PROCEEDINGS OF THE 2019 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY (2019)
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
Tianlu Wang et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search
Sahin Cem Geyik et al.
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING (2019)
Analyzing Sentiments of German Job References
Finn Folkerts et al.
2019 IEEE INTERNATIONAL CONFERENCE ON HUMANIZED COMPUTING AND COMMUNICATION (HCC 2019) (2019)
Demographic Inference and Representative Population Estimates from Multilingual Social Media Data
Zijian Wang et al.
WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019) (2019)
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned
Sarah Bird et al.
PROCEEDINGS OF THE TWELFTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM'19) (2019)
Exploring Automatic Face Recognition on Match Performance and Gender Bias for Children
Nisha Srinivas et al.
2019 IEEE WINTER APPLICATIONS OF COMPUTER VISION WORKSHOPS (WACVW) (2019)
'Bias in, Bias out': gender equality and the future of work debate
Debra Howcroft et al.
LABOUR & INDUSTRY-A JOURNAL OF THE SOCIAL AND ECONOMIC RELATIONS OF WORK (2019)
Investigating Implicit Gender Bias and Embodiment of White Males in Virtual Reality with Full Body Visuomotor Synchrony
Sarah Lopez et al.
CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (2019)
Algorithms for Fair Team Formation in Online Labour Marketplaces
Giorgio Barnabo et al.
COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2019 ) (2019)
Guidelines for Human-AI Interaction
Saleema Amershi et al.
CHI 2019: PROCEEDINGS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (2019)
The Ugly Truth About Ourselves and Our Robot Creations: The Problem of Bias and Social Inequity
Ayanna Howard et al.
SCIENCE AND ENGINEERING ETHICS (2018)
Gender bias in sentiment analysis
Mike Thelwall
ONLINE INFORMATION REVIEW (2018)
The Dangers of Automating Social Programs
Esther Shein
COMMUNICATIONS OF THE ACM (2018)
Automated Classification of Skin Lesions: From Pixels to Practice
Akhila Narla et al.
JOURNAL OF INVESTIGATIVE DERMATOLOGY (2018)
Investigating User Perception of Gender Bias in Image Search
Jahna Otterbacher et al.
ACM/SIGIR PROCEEDINGS 2018 (2018)
IEEE P7003™ Standard for Algorithmic Bias Considerations
Ansgar Koene et al.
2018 IEEE/ACM INTERNATIONAL WORKSHOP ON SOFTWARE FAIRNESS (FAIRWARE 2018) (2018)
FairTest: Discovering Unwarranted Associations in Data-Driven Applications
Florian Tramer et al.
2017 IEEE EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY (EUROS&P) (2017)
分享论文
