A Systematic Literature Review on Equity and Technology in HCI and Fairness: Navigating the Complexities and Nuances of Equity Research
Seyun Kim, Yuanchen Bai, Haiyi Zhu, Motahhare Eslami
摘要
Equity is crucial to the ethical implications in technology development. However, implementing equity in practice comes with complexities and nuances. In response, the research community, especially the humancomputer interaction (HCI) and Fairness community, has endeavored to integrate equity into technology design, addressing issues of societal inequities. With such increasing efforts, it is yet unclear why and how researchers discuss equity and its integration into technology, what research has been conducted, and what gaps need to be addressed. We conducted a systematic literature review on equity and technology, collecting and analyzing 202 papers published in HCI and Fairness-focused venues. Amidst the substantial growth of relevant publications within the past four years, we deliver three main contributions: (1) we elaborate a comprehensive understanding researchers' motivations for studying equity and technology, (2) we illustrate the different equity definitions and frameworks utilized to discuss equity, (3) we characterize the key themes addressing interventions as well as tensions and trade-offs when advancing and integrating equity to technology. Based on our findings, we elaborate an equity framework for researchers who seek to address existing gaps and advance equity in technology.
CCS Concepts: • Human-centered computing → Empirical studies in HCI .
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- Do Teachers Dream of GenAI Widening Educational (In)equality? Envisioning the Future of K-12 GenAI Education from Global Teachers' PerspectivesRuiwei Xiao, Qing Xiao, Xinying Hou, Phenyo Phemelo Moletsane 等CHI 2026 · 被引用 4 次
- "I think this is fair": Uncovering the Complexities of Stakeholder Decision-Making in AI Fairness AssessmentLin Luo, Yuri Nakao, Mathieu Chollet, Hiroya Inakoshi 等CHI 2026 · 被引用 1 次
它引用的顶会 Paper50
- Critical Race Theory for HCIIhudiya Finda Ogbonnaya-Ogburu, Angela D. R. Smith, Alexandra To, Kentaro ToyamaCHI 2020 · 被引用 397 次
- Disproportionate Removals and Differing Content Moderation Experiences for Conservative, Transgender, and Black Social Media Users: Marginalization and Moderation Gray AreasOliver L. Haimson, Daniel Delmonaco, Peipei Nie, Andrea WegnerCSCW 2021 · 被引用 287 次
- Problematic Machine Behavior: A Systematic Literature Review of Algorithm AuditsJack BandyCSCW 2021 · 被引用 190 次
- Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic BehaviorsHong Shen, Alicia DeVos, Motahhare Eslami, Kenneth HolsteinCSCW 2021 · 被引用 156 次
- Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for SupportMichael Madaio, Lisa Egede, Hariharan Subramonyam, Jennifer Wortman Vaughan 等CSCW 2022 · 被引用 149 次
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