Championing Transparency in AI Systems

Women in AI are pushing for increased transparency in AI systems, arguing that understanding how AI makes decisions is crucial for accountability and trustworthiness. They advocate for explainable AI, ensuring that users and affected parties can comprehend and question AI decisions, thus promoting greater acceptance and responsible use of AI technologies.

Women in AI are pushing for increased transparency in AI systems, arguing that understanding how AI makes decisions is crucial for accountability and trustworthiness. They advocate for explainable AI, ensuring that users and affected parties can comprehend and question AI decisions, thus promoting greater acceptance and responsible use of AI technologies.

Empowered by Artificial Intelligence and the women in tech community.
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Sisanda Skweyiya
Senior Business Analyst at Accenture

Because people are more likely to trust technology when they can understand and question it, explainability is becoming an important part of responsible AI.
AI shouldn’t feel like a black box. People deserve to know how decisions that affect them are being made and have a way to question them.

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