AI时代信息过载正威胁人类认知，本文提出应以缓解认知负担为核心应对策略。
Mitigating Societal Cognitive Overload in the Age of AI: Challenges and Directions
- 从信息泛滥、算法操控等五方面分析AI如何加剧认知过载
- 指出认知过载是连接短期危害与长期风险的关键桥梁
- 呼吁构建抗过载的制度与政策框架，适合关注AI伦理与社会影响的研究者
人工智能时代的海量信息与复杂性正引发社会性认知过载，严重威胁人类福祉与社会韧性。本文认为，缓解认知过载不仅是改善当下生活质量的必要条件，更是应对高级AI潜在风险（包括生存性威胁）的前提。文章剖析了AI通过信息泛滥、算法操纵、自动化焦虑、监管放松及意义消解等机制加剧过载的路径。将AI安全讨论重构为以认知过载为核心的议题，强调其在连接近端损害与远期风险中的枢纽作用。最后探讨了基于抗过载视角的人类-AI对齐所催生的制度调整、研究方向与政策考量，提出未来探索路径而非给出确定方案。
原文摘要 · Abstract (English)
Societal cognitive overload, driven by the deluge of information and complexity in the AI age, poses a critical challenge to human well-being and societal resilience. This paper argues that mitigating cognitive overload is not only essential for improving present-day life but also a crucial prerequisite for navigating the potential risks of advanced AI, including existential threats. We examine how AI exacerbates cognitive overload through various mechanisms, including information proliferation, algorithmic manipulation, automation anxieties, deregulation, and the erosion of meaning. The paper reframes the AI safety debate to center on cognitive overload, highlighting its role as a bridge between near-term harms and long-term risks. It concludes by discussing potential institutional adaptations, research directions, and policy considerations that arise from adopting an overload-resilient perspective on human-AI alignment, suggesting pathways for future exploration rather than prescribing definitive solutions.
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