Sharing Practices for Datasets Related to Accessibility and Aging.

Rie Kamikubo, Utkarsh Dwivedi, Hernisa Kacorri
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引用次数: 0

Abstract

Datasets sourced from people with disabilities and older adults play an important role in innovation, benchmarking, and mitigating bias for both assistive and inclusive AI-infused applications. However, they are scarce. We conduct a systematic review of 137 accessibility datasets manually located across different disciplines over the last 35 years. Our analysis highlights how researchers navigate tensions between benefits and risks in data collection and sharing. We uncover patterns in data collection purpose, terminology, sample size, data types, and data sharing practices across communities of focus. We conclude by critically reflecting on challenges and opportunities related to locating and sharing accessibility datasets calling for technical, legal, and institutional privacy frameworks that are more attuned to concerns from these communities.

与无障碍环境和老龄化相关的数据集共享实践。
来自残疾人和老年人的数据集在辅助性和包容性人工智能应用的创新、基准设定和减少偏见方面发挥着重要作用。然而,这些数据却非常稀缺。我们对过去 35 年中人工收集的 137 个跨学科无障碍数据集进行了系统回顾。我们的分析强调了研究人员在数据收集和共享过程中如何处理利益与风险之间的矛盾。我们揭示了不同关注群体在数据收集目的、术语、样本大小、数据类型和数据共享实践方面的模式。最后,我们批判性地反思了与定位和共享可访问性数据集相关的挑战和机遇,呼吁建立技术、法律和机构隐私框架,以更贴近这些群体的关切。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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