时间标签：数据日期 2026-10-31 · 生成时间 2026-11-01 05:30（Asia/Shanghai）｜ 检索窗口 PubMed edat 2026/10/28–2026/10/31 ｜ 情报发生日期 2026-10-31
研究问题
Public debate has focused heavily on schools, universities, workplaces, productivity, misinformation and regulation.；The framework advances the claim that when older adults' perspectives are insufficiently included during the design and evaluation of generative AI, stereotypical representations may remain effectively unchallenged.
方法
Training should build on participants' existing knowledge and offer flexible pacing, accessible materials, and support suited to their needs.
核心结论
Population aging and the rapid diffusion of generative artificial intelligence are two defining transformations of the twenty-first century, yet they are rarely considered together.；Yet research and design practices often continue to position older adults as late adopters, vulnerable users or recipients of technological solutions rather than as citizens whose agency, knowledge and social representation matter in the future AI ecosystem (; ).；Together, they may shape who benefits from AI and how aging itself is understood. ‖ 结论：Without such efforts, generative AI may widen a double divide in aging societies, one that limits older adults' capacity to act in AI-mediated environments and narrows how aging itself is seen.
局限
For older adults with sensory limitations, low digital confidence or limited formal education, conversational interfaces could be more approachable than menu-based systems.；Reviews of digital technology design show that older adults are frequently framed through assumptions of decline, dependency and lack of competence ().
对本项目的价值
★☆☆☆☆ 相关范围内，作为背景与横向对照收录。
全文来源
PMC JATS 全文（正文 14,092 字符，已过标题/DOI 逐字归属校验）
原文题录
- 英文标题：Generative AI in aging societies: the risk of a double divide.
- 期刊与标识：Front Artif Intell · PMID 42953048 · DOI 10.3389/frai.2026.1973907
A 级证据分级：A 级（同行评议人体研究）
本文属人体研究证据，但需注意：观察性或小样本干预的结论不等于已证实临床获益；效应量与长期安全性仍需更大规模、更长随访的试验验证。
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