Transparency and Accountability in AI Use

A lack of transparency in AI algorithms can make it challenging for users to understand how decisions are made, particularly in healthcare where these decisions can have significant impacts. Women can lead efforts to increase transparency by demanding clear explanations of AI decision-making processes and advocating for accountability in cases where AI-driven decisions affect patient care.

A lack of transparency in AI algorithms can make it challenging for users to understand how decisions are made, particularly in healthcare where these decisions can have significant impacts. Women can lead efforts to increase transparency by demanding clear explanations of AI decision-making processes and advocating for accountability in cases where AI-driven decisions affect patient care.

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