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AI Governance Handbook: A Practical Guide for Enterprise AI Adoption (Professional Practice in Governance and Public Organizations)
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The AI Governance Handbook is a comprehensive guide tailored for stakeholders at the forefront of AI adoption.
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What Stands Out
Product Details
| Publisher | Springer |
| Publication date | August 15, 2025 |
| Language | English |
| Print length | 298 pages |
| ISBN-10 | 3031892658 |
| ISBN-13 | 978-3031892653 |
| Item Weight | 1.31 pounds (590 grams) |
| Dimensions | 6.14 x 0.69 x 9.21 inches (15.6 x 1.8 x 23.4 cm) |
Who Should Buy?
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Business Executives
Executives looking to integrate AI governance into their organizations will benefit from practical strategies and frameworks provided.
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Policy Makers
Policymakers aiming to create responsible AI regulations can use the handbook as a comprehensive guideline for governance.
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IT Professionals
IT professionals involved in AI implementation will find tactical insights on aligning technology with governance standards.
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Casual Readers
Individuals seeking light reading or basic AI concepts will find the handbook too technical and in-depth.
Product Description
AI Governance Handbook: A Practical Guide for Enterprise AI Adoption (Professional Practice in Governance and Public Organizations)
Customer Questions & Answers
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Question:
Who is the target audience for the AI Governance Handbook?
Answer: The handbook is tailored for executives, managers, data scientists, engineers, and compliance professionals involved in AI adoption. -
Question:
What are some key challenges addressed in the handbook?
Answer: It addresses challenges such as algorithmic bias, data privacy concerns, ethical dilemmas, and the legal implications of AI. -
Question:
How does the handbook help organizations with AI implementation?
Answer: It provides knowledge, tools, and strategies to navigate complexities and align AI strategies with their goals.
Intelligence & Semantics Editorial Review
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Features & Benefits
- Unlock the potential of data, automation, and advanced analytics.
- Strategic alignment of AI initiatives with organizational goals is essential.
- Navigate complex risks like algorithmic bias and data privacy concerns.
- Stay ahead in a pre-regulatory era with emerging policies and frameworks.
- Packed with actionable insights for responsible and effective AI implementation.
- Provides a roadmap to build a resilient, fair, and accountable AI framework.
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