Can we rid artificial intelligence of bias? | National | – El Paso Inc.

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● Bias in artificial intelligence is a growing concern as it can reflect and perpetuate societal biases.
● Bias can occur in AI through biased data sets, biased algorithms, and biased human decisions.
● Strategies to reduce bias in AI include diversifying the teams working on AI projects, being transparent about the data used, and creating mechanisms for audit and oversight.
● AI can be designed to be fair and just by ensuring that it is inclusive, transparent, accountable, and accurate.
● It is essential to continuously monitor and address bias in AI to create fair and unbiased systems.

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