Introduction to AI Fairness

被引：0

作者：

Zhang, Yunfeng ^{[1
]}

Bellamy, Rachel K. E. ^{[1
]}

Liao, Q. Vera ^{[1
]}

Singh, Moninder ^{[1
]}

机构：

[1] IBM Res AI, Yorktown Hts, NY 10598 USA

来源：

EXTENDED ABSTRACTS OF THE 2021 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'21) | 2021年

关键词：

algorithmic fairness; bias; decision support; discrimination-aware machine learning;

D O I：

10.1145/3411763.3444998

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Today, AI is used in many high-stakes decision-making applications in which fairness is an important concern. Already, there are many examples of AI being biased and making questionable and unfair decisions. Recently, the AI research community has proposed many methods to measure and mitigate unwanted biases, and developed open-source toolkits for developers to make fair AI. This course will cover the recent development in algorithmic fairness, including the many different definitions of fairness, their corresponding quantitative measurements, and ways to mitigate biases. This course is open to beginners and is designed for anyone interested in the topic of AI fairness.

引用

页数：3

共 50 条

[21] Social Media Use and Attitudes toward AI: The Mediating Roles of Perceived AI Fairness and Threat
Li, Wenbo
Zheng, Xia
HUMAN BEHAVIOR AND EMERGING TECHNOLOGIES, 2024, 2024
[22] Towards Fairness in AI: Addressing Bias in Data Using GANs
Rajabi, Amirarsalan
Garibay, Ozlem O.
HCI INTERNATIONAL 2021 - LATE BREAKING PAPERS: MULTIMODALITY, EXTENDED REALITY, AND ARTIFICIAL INTELLIGENCE, 2021, 13095 : 509 - 518
[23] From Reality to World. A Critical Perspective on AI Fairness
John-Mathews, Jean-Marie
Cardon, Dominique
Balague, Christine
JOURNAL OF BUSINESS ETHICS, 2022, 178 (04) : 945 - 959
[24] A survey of recent methods for addressing AI fairness and bias in biomedicine
Yang, Yifan
Lin, Mingquan
Zhao, Han
Peng, Yifan
Huang, Furong
Lu, Zhiyong
JOURNAL OF BIOMEDICAL INFORMATICS, 2024, 154
[25] Satisfaction with AI chatbots in crowdsourcing services: anthropomorphic and fairness perspectives
Koh, Le Yi
Cheh, Yek Guo
Yuen, Kum Fai
Wang, Xueqin
BEHAVIOUR & INFORMATION TECHNOLOGY, 2025,
[26] AI Fairness-From Machine Learning to Federated Learning
Patnaik, Lalit Mohan
Wang, Wenfeng
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2024, 139 (02): : 1203 - 1215
[27] Towards fair AI: a review of bias and fairness in machine intelligence
Venkatesha Kurumayya
Journal of Computational Social Science, 2025, 8 (3):
[28] The Cost of Fairness in AI: Evidence from E-Commerce
von Zahn, Moritz
Feuerriegel, Stefan
Kuehl, Niklas
BUSINESS & INFORMATION SYSTEMS ENGINEERING, 2022, 64 (03) : 335 - 348
[29] The Cost of Fairness in AI: Evidence from E-Commerce
Moritz von Zahn
Stefan Feuerriegel
Niklas Kuehl
Business & Information Systems Engineering, 2022, 64 : 335 - 348
[30] Navigating AI conformity: A design framework to assess fairness, explainability, and performance
von Zahn, Moritz
Zacharias, Jan
Lowin, Maximilian
Chen, Johannes
Hinz, Oliver
ELECTRONIC MARKETS, 2025, 35 (01)

← 1 2 3 4 5 →