Principles of AI Governance and Model Risk Management
portes grátis
Principles of AI Governance and Model Risk Management
Master the Techniques for Ethical and Transparent AI Systems
Sayles, James
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
01/2025
390
Mole
9798868809828
Pré-lançamento - envio 15 a 20 dias após a sua edição
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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.
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AI Governance and Model Risk Management;AI Ethics and Transparency;AI governance;Key Performance Indicators and Metrics;AI development;AI Strategy;data governance;model versioning;AI incident report
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.