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.

翻译：以人为中心的自然语言处理（Human-Centric NLP）常宣称优先考虑人类需求与价值观，然而诸多实践揭示出其深层的以AI为中心的导向。本研究通过对语言建模、行为测试与多模态对齐的案例分析，识别出以人为中心的理念与实际操作之间存在显著差距。关键问题包括：与人本设计原则的错位、将人因要素简化为单纯的基准指标，以及对现实世界影响的考量不足。本文探讨了以人为中心的自然语言处理是否真正体现了人本设计，并强调跨学科合作与伦理考量的必要性。论文主张重新定义以人为中心的自然语言处理，敦促将关注点拓展至现实世界的效用与社会影响，以确保语言技术能真正服务并赋能用户。