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AI Explainability in practice

2025

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AI-generated summary

1) This workbook provides practical guidance and tools for understanding and implementing AI explainability, crucial for responsible and ethical AI deployment.
2) * Introduces key concepts of AI explainability, including transparency, maxims, and types of explanations.
* Offers practical tasks and activities to apply explainability principles in real-world scenarios.
* Includes a case study on AI in children's social care to illustrate challenges and considerations.
3) AI Explainability, AI Ethics, Responsible AI, Transparency, Accountability

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