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Principles of AI governance and model risk management : master the techniques for ethical and transparent AI systems / James Sayles.
- Format:
- Book
- Author/Creator:
- Sayles, James, author.
- Language:
- English
- Subjects (All):
- Artificial intelligence--Management.
- Artificial intelligence.
- Artificial intelligence--Moral and ethical aspects.
- Artificial intelligence--Risk management.
- Physical Description:
- 1 online resource (xxxi, 472 pages) : illustrations
- Place of Publication:
- Berkeley, CA : Apress, 2024.
- Contents:
- Chapter 1 - The Current State of AI Governance and Model Risk Management
- Chapter 2 - AI Strategy and AI Governance Interoperability
- Chapter 3 - How to Sound Like an AI Governance Guru
- Chapter 4 - Designing a Well-Governed AI Lifecycle Model
- Chapter 5 - AI Governance for Trustworthy AI - The Governances in AI Governance
- Chapter 6 - Designing Your AI Governance Framework
- Chapter 7 - AI Governance and Oversight Model
- Chapter 8 - Managing and Addressing AI Compliance
- Chapter 9 - Integrating AI Governance with Enterprise Governance Risk and Compliance
- Chapter 10 - AI Policy Management and Enforcement
- Chapter 11 - Maintaining Privacy within your AI Governance Model
- Chapter 12 - Human Oversight of AI Systems
- Chapter 13 - The Power of Stakeholder Engagement in AI Governance
- Chapter 14 - Considering the Environmental Impacts of AI Systems
- Chapter 15 - Developing the Protocols for Rapid Response in Case of an AI-Related Crisis
- Chapter 16 - Capacity Building for AI Actors
- Chapter 17 - Intellectual Property Rights with AI Technologies
- Chapter 18 - Auditing AI Systems
- Chapter 19 - AI Model Inventory and Facts
- Chapter 20 - Ramesh
- Chapter 21 - AI Governance and SDLC Integration
- Chapter 22: AI Through the Lens of Non-Technical Business Leaders: Embracing AI with Caution
- Chapter 23: Navigating the AI Frontier with this Sales Bible: Sales and Marketing Strategies for AI Governance and Risk Management Solutions.
- Notes:
- Includes index.
- Electronic reproduction. Ann Arbor, MI Available via World Wide Web.
- Online resource; title from PDF title page (SpringerLink, viewed December 30, 2024).
- ISBN:
- 9798868809835
- Publisher Number:
- 90101468989
- Access Restriction:
- Restricted for use by site license.
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