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AI–Family Integration Index (AFII)

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DataCite Commons2025-04-03 更新2025-05-07 收录
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This item presents the full manuscript of the study titled <b>“AI–Family Integration Index (AFII): A Global Benchmark for Emotional and Ethical Readiness in AI-Centered Caregiving and Kinship Systems.”</b>The study introduces the <b>AI–Family Integration Index (AFII)</b>—a ten-dimensional, multidisciplinary framework that evaluates national readiness for the emotionally intelligent and ethically grounded integration of artificial intelligence (AI) into caregiving, education, and family systems. Unlike conventional indices (e.g., Stanford AI Index), which emphasize infrastructure and innovation, AFII incorporates affective, cultural, and relational criteria such as:Emotional literacy &amp; safety designSymbolic trust and cultural receptivityEthical frameworks &amp; consent protocolsInclusivity, caregiving equity, and relational accountabilityUsing secondary data, policy analysis, and qualitative thematic coding, the index is applied to <b>13 culturally diverse countries</b>, revealing a striking <b>policy–practice gap</b> in how AI readiness is defined and implemented.The submission includes:Dimension-wise scoring criteriaCountry-level AFII performance tablesComparative visuals (e.g., radar charts, heatmaps)This work is designed as an open-access benchmarking tool for scholars, policymakers, ethicists, and designers seeking to embed AI within human care ecosystems in ways that are emotionally credible, ethically grounded, and culturally resonant.The AFII aligns with global goals such as <b>SDG 3 (Health), SDG 5 (Gender Equality), and SDG 10 (Reduced Inequalities)</b>, and contributes to emerging policy frameworks for <b>relational AI governance</b>.Table 1 – Outlines the ten core dimensions of the AI–Family Integration Index (AFII), along with matching keywords and references used for thematic coding.<br>Table 2 – Maps theoretical frameworks (e.g., relational ethics, posthumanism) to AFII principles and dimensions for conceptual grounding.<br>Table 3 – Presents scoring criteria for evaluating technological infrastructure and AI penetration in national contexts.<br>Table 4 – Lists comparative scores of countries based on technological infrastructure readiness within the AFII framework.<br>Table 5 – Details scoring criteria for assessing cultural and philosophical receptivity to AI as a relational presence.<br>Table 6 – Summarizes country-wise cultural receptivity scores, reflecting societal openness to emotional AI.<br>Table 7 – Defines scoring indicators for evaluating legal, ethical, and consent frameworks regarding emotional AI.<br>Table 8 – Displays country-level scores and justifications for emotional consent and regulatory preparedness.<br>Table 9 – Outlines metrics used to evaluate local adaptability and inclusive AI design across different cultures.<br>Table 10 – Shows national comparisons on AI's cultural adaptability and localized inclusivity efforts.<br>Table 11 – Establishes criteria for assessing emotional literacy, AI education, and youth exposure readiness.<br>Table 12 – Reports comparative scores for how nations cultivate AI awareness and emotional literacy in education.<br>Table 13 – Ranks countries by their AFII composite score, showcasing relational AI readiness.<br>Table 14 – Highlights scoring criteria for symbolic trust and social narrative alignment in AI systems.<br>Table 15 – Provides evaluation rubrics for historical adoption and leadership in emotional and caregiving AI.<br>Table 16 – Displays comparative scores for national AI leadership and innovation history in caregiving contexts.<br>Table 17 – Lists assessment measures for family structure and emotional labor equity in AI deployment.<br>Table 18 – Summarizes countries’ readiness in terms of gender-sensitive and family-inclusive AI practices.<br>Table 19 – Sets scoring benchmarks for economic accessibility and affordability of relational AI systems.<br>Table 20 – Compares countries on the basis of equitable access to AI caregiving tools and infrastructure.<br>Table 21 – Introduces criteria for assessing emotional authority and safety design in AI governance.<br>Table 22 – Evaluates nations’ emotional AI safety and symbolic authority protocols.<br>Table 23 – Presents country-wise AFII scores across all ten dimensions and composite indices.<br>Table 24 – Displays policy penetration scores indicating how deeply emotional AI is embedded in national strategies.<br>Table 25 – Lists Stanford AI Index rankings for top AI-performing countries globally (2024).<br>Table 26 – Summarizes national ranks based on AFII composite scores, contrasting relational and technical readiness.<br>Table 27 – Maps alignment between AFII scores and national policy commitment to AI–Family Integration.<br>Table 28 – Provides a side-by-side typology of countries across four readiness quadrants (High-Low policy vs. practice).<br>Figure 1 – Visual schema linking AFII’s theoretical foundations with its ten dimensions and key relational AI principles.<br>Figure 2 – Radar chart comparing AFII scores across 13 countries to illustrate emotional AI readiness.<br>Figure 3 – Geographical heat map showing national policy penetration on AI–Family Integration.<br>Figure 4 – Bar chart of country-wise scores across AFII dimensions, highlighting comparative strengths.<br>Figure 5 – Correlation graph mapping AFII scores against traditional AI indices to reveal conceptual gaps.<br>Figure 6 – Matrix diagram visualizing the policy–practice alignment for AI–Family Integration.<br>Figure 7 – Readiness quadrant scatter plot grouping countries by their AFII and policy penetration alignment.<br>

本项内容呈现了题为<b>《AI-家庭整合指数(AFII):AI中心化照护与亲属系统中情感及伦理准备度的全球基准》</b>的研究完整手稿。该研究引入了<b>AI-家庭整合指数(AFII)</b>——一个十维度、跨学科的框架,用于评估各国在将人工智能(AI)以情感智能且伦理根基深厚的方式整合到照护、教育及家庭系统中的准备度。与强调基础设施和创新的传统指数(如斯坦福AI指数)不同,AFII纳入了情感、文化和关系层面的标准,例如:情感素养与安全设计;象征信任与文化接受度;伦理框架与同意协议;包容性、照护公平性及关系问责制。通过二次数据、政策分析及定性主题编码,该指数应用于<b>13个文化多样性国家</b>,揭示了AI准备度定义与实施方面显著的<b>政策-实践差距</b>。本提交内容包含:维度评分标准;国家层面AFII表现表;比较可视化(如雷达图、热图)。本研究旨在作为开放获取的基准工具,供学者、政策制定者、伦理学家及设计师使用,以情感可信、伦理根基深厚且文化共鸣的方式将AI嵌入人类照护生态系统。AFII与全球目标(如<b>SDG 3(健康)、SDG 5(性别平等)及SDG 10(减少不平等)</b>)对齐,并为<b>关系型AI治理</b>的新兴政策框架做出贡献。表1——概述了AI-家庭整合指数(AFII)的十大核心维度,以及用于主题编码的匹配关键词和参考文献。<br>表2——将理论框架(如关系伦理、后人类主义)映射至AFII原则与维度,以提供概念基础。<br>表3——呈现了评估国家层面技术基础设施与AI渗透度的评分标准。<br>表4——列出了基于AFII框架内技术基础设施准备度的国家比较得分。<br>表5——详述了评估AI作为关系存在的文化与哲学接受度的评分标准。<br>表6——总结了各国文化接受度得分,反映社会对情感AI的开放度。<br>表7——定义了评估情感AI相关法律、伦理及同意框架的评分指标。<br>表8——展示了国家层面情感同意与监管准备度的得分及理由。<br>表9——概述了评估不同文化中本地适应性与包容性AI设计的指标。<br>表10——展示了国家在AI文化适应性与本地化包容性努力方面的比较。<br>表11——确立了评估情感素养、AI教育及青年接触准备度的标准。<br>表12——报告了各国在教育中培养AI意识与情感素养的比较得分。<br>表13——按AFII综合得分对国家进行排名,展示关系型AI准备度。<br>表14——突出了AI系统中象征信任与社会叙事对齐的评分标准。<br>表15——提供了情感及照护AI历史采用与领导力的评估量表。<br>表16——展示了国家在照护场景中情感及照护AI领导力与创新历史的比较得分。<br>表17——列出了AI部署中家庭结构与情感劳动公平性的评估措施。<br>表18——总结了各国在性别敏感及家庭包容性AI实践方面的准备度。<br>表19——设定了关系型AI系统经济可及性与可负担性的评分基准。<br>表20——比较了各国在AI照护工具与基础设施公平获取方面的表现。<br>表21——引入了评估AI治理中情感权威与安全设计的标准。<br>表22——评估了各国情感AI安全与象征权威协议。<br>表23——呈现了各国在AFII所有十大维度及综合指数上的得分。<br>表24——展示了情感AI嵌入国家战略深度的政策渗透得分。<br>表25——列出了全球AI表现领先国家的斯坦福AI指数排名(2024年)。<br>表26——总结了基于AFII综合得分的国家排名,对比关系型与技术型准备度。<br>表27——映射AFII得分与国家AI-家庭整合政策承诺的对齐度。<br>表28——提供了四个准备度象限(政策高低vs实践高低)的国家分类并列表。<br>图1——展示AFII理论基础与其十大维度及核心关系型AI原则关联的视觉架构。<br>图2——比较13个国家AFII得分的雷达图,以说明情感AI准备度。<br>图3——展示AI-家庭整合国家政策渗透度的地理热图。<br>图4——各国AFII维度得分的条形图,突出比较优势。<br>图5——映射AFII得分与传统AI指数的相关图,揭示概念差距。<br>图6——可视化AI-家庭整合政策-实践对齐度的矩阵图。<br>图7——按AFII与政策渗透度对齐度分组国家的准备度象限散点图。
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2025-04-03
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