Understanding the Representation and Representativeness of Age in AI Data Sets

Author:

Park Joon Sung1,Bernstein Michael S.1,Brewer Robin N.2,Kamar Ece3,Morris Meredith Ringel4

Affiliation:

1. Stanford University, Stanford, CA, USA

2. University of Michigan, Ann Arbor, MI, USA

3. Microsoft Research -- Redmond, Redmond, WA, USA

4. Microsoft Research - Redmond, Redmond, WA, USA

Publisher

ACM

Reference54 articles.

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. HCI and Aging: New Directions, New Principles;Extended Abstracts of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. Better Little People Pictures: Generative Creation of Demographically Diverse Anthropographics;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

3. “YouWalk-UOS” – technology-enabled and user-centred assessment of urban open spaces;Open House International;2024-03-25

4. Strategies to Mitigate Age-Related Bias in Machine Learning: Scoping Review;JMIR Aging;2024-03-22

5. Making AI Ethical by Design: The UNESCO Perspective;Computer;2024-02

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