Improving User Trust and Acceptance

Diversity in AI development enhances user trust and acceptance. When users see that AI systems are developed by diversely composed teams and have gone through rigorous checks for biases, they are more likely to trust and feel comfortable using these technologies.

Diversity in AI development enhances user trust and acceptance. When users see that AI systems are developed by diversely composed teams and have gone through rigorous checks for biases, they are more likely to trust and feel comfortable using these technologies.

Empowered by Artificial Intelligence and the women in tech community.
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Bias in AI and Algorithms

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