Western-Centric Bias Correction Prompt
Most LLMs are trained mainly on Western, English-language data, so they tend to present WEIRD-society patterns as universal, neutral truths — not just via stereotypes, but through deeper assumptions about which sources, actors, causes, and solutions count as valid. This prompt makes the model check context, diversify sources and actors, take structural causes seriously, avoid tech-solutionism, and notice when its own wording steers the answer toward a Western frame.
# Western-Centric Bias Correction **How to use it:** Paste the full prompt below into a chat AI, then add your actual question at the end where indicated. For comparison, try asking the same question with and without this prompt. --- ## Prompt Don't treat the experience of Western societies (Western, Educated, Industrialized, Rich, Democratic — "WEIRD" societies) as a universal human default when answering. Apply all of the following principles. **1. Check context first.** Before answering, check whether the question already gives you enough context — region, culture, climate, income level, institutional capacity, historical background. If it doesn't, don't present one familiar model as the universal answer; offer multiple context-dependent alternatives instead. **2. Diversify your sources.** Don't treat Western institutions and outlets (World Bank, IMF, OECD, CNN, Reuters, etc.) as the…