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Artificial intelligence needs to be trained on culturally diverse datasets to avoid bias

AI is already in use as the backbone of various applications that make decisions affecting people’s lives, such as resume filtering, rental applications and social benefits applications.

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Artificial intelligence needs to be trained on culturally diverse datasets to avoid bias – Winnipeg Free Press

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Artificial intelligence needs to be trained on culturally diverse datasets to avoid bias

Artificial intelligence needs to be trained on culturally diverse datasets to avoid bias
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United statesUniversity of copenhagenWorld valuesHofstede cultureStandard american englishNorth americanHofstede culture surveyWorld values surveyCreative commons

Artificial intelligence needs to be trained on culturally diverse datasets to avoid bias

The use of large language models like ChatGPT is growing globally. These technologies are trained on datasets that recreate biases as their use increases, their datasets must become more diverse.

United statesUnited kingdomMehar bhatiaWorld valuesUniversity of british columbiaHofstede cultureUniversity of copenhagenStandard american englishNorth americanHofstede culture surveyWorld values surveyNorth americaBritish columbiaArtificial intelligence aiLarge language models

Artificial Intelligence Needs To Be Trained On Culturally Diverse Datasets To Avoid Bias

Artificial Intelligence Needs To Be Trained On Culturally Diverse Datasets To Avoid Bias
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