Generative AI must be culturally fluent and trained on diverse data to expand its audience and improve human interactions across cultures.
The IBM team incorporated simulations so leaders can make better decisions. But these simulations need representative data, like the grass in the dog's photo. GenAI doesn't need to imagine what grass looks like.
Using GenAI simulations for smarter educational investments
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Culturally fluent generative AI is essential for our engineers to create innovative products and solutions that thrive in a global economy. It's not just about personalization; it's about ensuring that AI understands and respects cultural nuances. What if you could only use Google if you knew the code? All the advances that Google brought in the field of information accessibility and efficiency would be erased.
We need to make sure our AI contributions – both manual and user-generated – are culturally diverse and contextually relevant. Navigating cultural diversity has been a feat for humans. Can AI own our gaps and flaws by becoming culturally fluent?
Source: BairesDev
