The Role of Inclusive Data in Complementing Diverse AI Teams

For AI technologies to be truly inclusive and unbiased, diverse teams must be complemented with inclusive data sets. Often, the data used to train AI systems contain inherent biases, which can perpetuate or even exacerbate societal biases. Diverse teams are better positioned to identify such biases in data; however, active efforts to create, curate, and utilize inclusive data sets are crucial in making AI technologies fair and equitable.

For AI technologies to be truly inclusive and unbiased, diverse teams must be complemented with inclusive data sets. Often, the data used to train AI systems contain inherent biases, which can perpetuate or even exacerbate societal biases. Diverse teams are better positioned to identify such biases in data; however, active efforts to create, curate, and utilize inclusive data sets are crucial in making AI technologies fair and equitable.

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