AI–Family Integration Index (AFII)

This item presents the full manuscript of the study titled “AI–Family Integration Index (AFII): A Global Benchmark for Emotional and Ethical Readiness in AI-Centered Caregiving and Kinship Systems.”

The study introduces the AI–Family Integration Index (AFII)—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 & safety design
• Symbolic trust and cultural receptivity
• Ethical frameworks & consent protocols
• Inclusivity, caregiving equity, and relational accountability

Using secondary data, policy analysis, and qualitative thematic coding, the index is applied to 13 culturally diverse countries, revealing a striking policy–practice gap in how AI readiness is defined and implemented.

The submission includes:

• Dimension-wise scoring criteria
• Country-level AFII performance tables
• Comparative 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 SDG 3 (Health), SDG 5 (Gender Equality), and SDG 10 (Reduced Inequalities), and contributes to emerging policy frameworks for relational AI governance.

Table 1 – Outlines the ten core dimensions of the AI–Family Integration Index (AFII), along with matching keywords and references used for thematic coding.

Table 2 – Maps theoretical frameworks (e.g., relational ethics, posthumanism) to AFII principles and dimensions for conceptual grounding.

Table 3 – Presents scoring criteria for evaluating technological infrastructure and AI penetration in national contexts.

Table 4 – Lists comparative scores of countries based on technological infrastructure readiness within the AFII framework.

Table 5 – Details scoring criteria for assessing cultural and philosophical receptivity to AI as a relational presence.

Table 6 – Summarizes country-wise cultural receptivity scores, reflecting societal openness to emotional AI.

Table 7 – Defines scoring indicators for evaluating legal, ethical, and consent frameworks regarding emotional AI.

Table 8 – Displays country-level scores and justifications for emotional consent and regulatory preparedness.

Table 9 – Outlines metrics used to evaluate local adaptability and inclusive AI design across different cultures.

Table 10 – Shows national comparisons on AI's cultural adaptability and localized inclusivity efforts.

Table 11 – Establishes criteria for assessing emotional literacy, AI education, and youth exposure readiness.

Table 12 – Reports comparative scores for how nations cultivate AI awareness and emotional literacy in education.

Table 13 – Ranks countries by their AFII composite score, showcasing relational AI readiness.

Table 14 – Highlights scoring criteria for symbolic trust and social narrative alignment in AI systems.

Table 15 – Provides evaluation rubrics for historical adoption and leadership in emotional and caregiving AI.

Table 16 – Displays comparative scores for national AI leadership and innovation history in caregiving contexts.

Table 17 – Lists assessment measures for family structure and emotional labor equity in AI deployment.

Table 18 – Summarizes countries’ readiness in terms of gender-sensitive and family-inclusive AI practices.

Table 19 – Sets scoring benchmarks for economic accessibility and affordability of relational AI systems.

Table 20 – Compares countries on the basis of equitable access to AI caregiving tools and infrastructure.

Table 21 – Introduces criteria for assessing emotional authority and safety design in AI governance.

Table 22 – Evaluates nations’ emotional AI safety and symbolic authority protocols.

Table 23 – Presents country-wise AFII scores across all ten dimensions and composite indices.

Table 24 – Displays policy penetration scores indicating how deeply emotional AI is embedded in national strategies.

Table 25 – Lists Stanford AI Index rankings for top AI-performing countries globally (2024).

Table 26 – Summarizes national ranks based on AFII composite scores, contrasting relational and technical readiness.

Table 27 – Maps alignment between AFII scores and national policy commitment to AI–Family Integration.

Table 28 – Provides a side-by-side typology of countries across four readiness quadrants (High-Low policy vs. practice).

Figure 1 – Visual schema linking AFII’s theoretical foundations with its ten dimensions and key relational AI principles.

Figure 2 – Radar chart comparing AFII scores across 13 countries to illustrate emotional AI readiness.

Figure 3 – Geographical heat map showing national policy penetration on AI–Family Integration.

Figure 4 – Bar chart of country-wise scores across AFII dimensions, highlighting comparative strengths.

Figure 5 – Correlation graph mapping AFII scores against traditional AI indices to reveal conceptual gaps.

Figure 6 – Matrix diagram visualizing the policy–practice alignment for AI–Family Integration.

Figure 7 – Readiness quadrant scatter plot grouping countries by their AFII and policy penetration alignment.