arXiv cs.CY· Mary Lockwood·· 12 小时前AI 评分23
Equity Bias：一个面向 AI 设计的公平伦理框架
Equity Bias: An Ethical Framework for AI Design
AI 导读
研究者提出 Equity Bias 框架，将 AI 视为建构意义与知识的解释性主体，而非中立的计算器，主张偏见不应被消除而应被透明化并可被质疑。该框架基于伽达默尔诠释学与认知不公理论，包含 Equity Archaeology、Co-Creating Meaning 和 Ongoing Accountability 三阶段 AI 生命周期。
正文 · 原文
Abstract:Equity Bias is a philosophical and practical framework for building more equitable AI systems. It treats AI as an interpretive agent that constructs meaning and knowledge rather than as a neutral calculator. Grounded in Gadamerian hermeneutics and epistemic injustice theory, Equity Bias views bias not as an error to eliminate but as a reflection of whose knowledge is encoded into systems. Since all knowledge is situated, neutral systems are not possible. While traditional approaches aim to reduce or remove bias, Equity Bias instead makes bias transparent and contestable. Its three-stage AI Life Cycle (Equity Archaeology, Co-Creating Meaning, and Ongoing Accountability) turns these principles into practice. Equity Bias gives developers, researchers, policymakers, and communities affected by AI a method for examining whose knowledge a system encodes and who has the power to contest it. By placing the politics of knowledge at the centre of equitable AI design, Equity Bias offers a distinct approach to AI ethics.
| Comments: | 19 pages including references, 1 figure |
| Subjects: | Computers and Society (cs.CY); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2604.21907 [cs.CY] |
| (or arXiv:2604.21907v2 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2604.21907 arXiv-issued DOI via DataCite |
Submission history
From: Mary Lockwood [view email]
[v1]
Wed, 28 Jan 2026 12:55:53 UTC (223 KB)
[v2]
Fri, 23 Oct 2026 14:01:48 UTC (223 KB)
来源：arXiv cs.CY · arxiv.org