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Arxiv
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Beware of "Explanations" of AI
- Understanding the decisions made and actions taken by AI systems is a challenge.
- Explainable Artificial Intelligence (XAI) aims to provide explanations to enhance trust and adoption.
- Defining what constitutes a 'good' explanation is difficult due to various factors.
- Poorly designed explanations can lead to risks and harm, including wrong decisions and privacy violations.
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