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Item #:
211356593
AI Governance Handbook: A Practical Guide for Enterprise AI Adoption (Professional Practice in Governance and Public Organizations)
Item #:
211356593
€ 114
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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
Comprehensive Framework
Provides a detailed framework for companies to navigate the complexities of AI governance, ensuring responsible and ethical adoption of AI technologies tailored for enterprise environments.
Practical Guidance
Includes actionable strategies and best practices for implementing AI governance, making it accessible for professionals aiming to effectively integrate AI into their organizational structures.
Expert Contributions
Features insights from industry leaders and experts, offering diverse perspectives and real-world examples that enhance understanding and applicability of AI governance principles in various sectors.
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?
-
Business Executives
Executives looking to integrate AI governance into their organizations will benefit from practical strategies and frameworks provided.
-
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)
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€ 114
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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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