---
id: "entity-org-center-for-ai-policy"
type: "entity"
source_timestamps: ["enrichment"]
tags: ["policy", "secondary-source", "enrichment"]
related: ["concept-ai-receptivity-paradox", "claim-low-literacy-adoption", "concept-ai-magic-effect"]
entityType: "organization"
canonicalName: "Center for AI Policy"
aliases: ["CAIP"]
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-edu-39-understanding-ai-not-embrace"
sourceUrl: "https://hbr.org/2025/07/why-understanding-ai-doesnt-necessarily-lead-people-to-embrace-it"
sourceTitle: "Why Understanding AI Doesn’t Necessarily Lead People to Embrace It"
---
# Center for AI Policy (CAIP)

**Center for AI Policy (CAIP)** — a policy organization that published an independent summary of the AI literacy paradox and its implications for policymakers. *(Source: enrichment overlay, not the original article.)*

**Role for this vault:** A corroborating secondary source. CAIP labels the finding the "AI knowledge paradox," attributes the effect to "perceived magic and awe" over uniquely-human tasks (supporting [[concept-ai-magic-effect]] and [[claim-low-literacy-adoption]]), and frames the policy worry that "our most tech-savvy citizens might be our biggest skeptics" (supporting [[claim-high-literacy-disinterest]]).