Addressing Global Biases in AI: The Role of Indic Datasets and Multilingualism
Global Biases in AI Global biases in artificial intelligence (AI) refer to the systemic prejudices that are embedded in AI algorithms and systems. These biases can arise from various sources, including the datasets that are utilized to train these models, which often lack diversity. As AI continues to permeate decision-making processes in critical sectors such […]
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