---
id: "action-audit-cultural-bias"
type: "action-item"
source_timestamps: ["§ How to Develop a Country-Level AI Strategy"]
tags: ["qa", "localization", "ethics"]
related: ["concept-cultural-algorithmic-bias", "claim-culturally-relevant-algorithms-win"]
action: "Test and customize AI algorithms to ensure they align with the cultural norms and behavioral expectations of the target market."
outcome: "Prevention of costly deployment failures and improved user adoption in foreign markets."
speakers: ["Yasuhiro Yamakawa", "Thomas H. Davenport"]
sources: ["futures"]
sourceVaultSlug: "hbr-seg-futures"
originDay: 2
articleStem: "hbr-cl-94-ai-strategy-beyond-us-china"
sourceUrl: "https://hbr.org/2025/12/your-ai-strategy-needs-to-expand-beyond-the-u-s-and-china"
sourceTitle: "Your AI Strategy Needs to Expand Beyond the U.S. and China"
---
# Audit imported AI tools for cultural bias

**Action:** Test and customize AI algorithms so they align with the cultural norms and behavioral expectations of the target market.

**Do this:** Before deploying an AI system developed in one country into a new market, rigorously test it against local cultural norms. Understand that traits rewarded in one culture (e.g., aggressive self-promotion in U.S. résumés) may be penalized in another (e.g., modest tone in Japan). Customize the logic and user experience to fit local expectations rather than forcing a one-size-fits-all model. Grounded in [[concept-cultural-algorithmic-bias]]; this is step 2 of the [[framework-global-ai-strategy]] and the practical hedge that lets [[claim-culturally-relevant-algorithms-win]] work in your favor.

**Outcome:** Prevention of costly deployment failures and improved user adoption in foreign markets.