AI technology, while increasingly integrated into business strategies, often falters in understanding cultural nuances, leading to potential missteps in international marketing and strategy.
A University of Sydney study highlights that English-speaking LLMs reflect U.S. cultural values, indicating a lack of understanding for global cultural dynamics in AI outputs.
If AI is trained predominantly on English language data, as is common, it risks promoting Western perspectives, which can create obstacles for businesses seeking to expand globally.
Without diverse training data or a varied developer background, AI risks producing culturally insensitive outputs—this poses real threats to businesses navigating diverse markets.
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