揭穿人本NLP的虚伪标签，指出其实际仍以AI为中心。
Human-Centric NLP or AI-Centric Illusion?: A Critical Investigation
- 通过案例分析揭示人本NLP理念与实践间的巨大鸿沟。
- 发现人类因素常被简化为量化指标，忽视真实社会影响。
- 呼吁跨学科合作与伦理考量，重塑真正以人为本的技术方向。
人本自然语言处理常宣称以人类需求和价值观为先，但诸多实践仍隐含以AI为中心的倾向。通过对语言建模、行为测试及多模态对齐的案例研究，本文揭示了理念与实践之间的显著差距。核心问题包括：与人本设计原则不一致、将人类因素简化为单纯评估基准、以及对现实世界影响考虑不足。文章探讨人本NLP是否真正体现人本设计，强调需加强跨学科协作与伦理思考。论文主张重新定义人本NLP，应更关注实际应用价值与社会影响，确保语言技术真正服务于并赋能用户。
原文摘要 · Abstract (English)
Human-Centric NLP often claims to prioritise human needs and values, yet many implementations reveal an underlying AI-centric focus. Through an analysis of case studies in language modelling, behavioural testing, and multi-modal alignment, this study identifies a significant gap between the ideas of human-centricity and actual practices. Key issues include misalignment with human-centred design principles, the reduction of human factors to mere benchmarks, and insufficient consideration of real-world impacts. The discussion explores whether Human-Centric NLP embodies true human-centred design, emphasising the need for interdisciplinary collaboration and ethical considerations. The paper advocates for a redefinition of Human-Centric NLP, urging a broader focus on real-world utility and societal implications to ensure that language technologies genuinely serve and empower users.
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