The Definitive Guide to Responsible AI

個数：

予約

The Definitive Guide to Responsible AI

Trinckes, Jr., John J.

ウェブストア価格 ¥7,865（本体¥7,150）
Auerbach（2025/12発売）
外貨定価 US$ 39.99
ポイント 71pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 224 p.
言語 ENG
商品コード 9781041034940

Full Description

"Jay Trinckes has assembled a rare and essential resource. It's technical without being opaque, comprehensive without being overwhelming, and—most importantly—deeply principled. This guide doesn't just teach you how to build or assess AI systems. It shows you how to do so responsibly. Thoughtfully. Sustainably. With a clear-eyed understanding of what is at stake when we get it wrong—and what's possible when we get it right."—Maverick James, Esq., CIPP/US, CIPM, AIGP, "The Data Lawyer," Founder & CEO, Avant-Garde Legal, PC

As organizations are still attempting to figure out how to navigate AI risks, compliance, and governance, The Definitive Guide to Responsible AI is timely guide to help set the foundation for responsible and trustworthy AI use. Written for anyone who is responsible for leading activities related to the development, implementation, or use of AI, the book benefits Chief AI Officers, Chief Information Security Officers, Chief Privacy Officers, and Chief Compliance Officers, as well as other executives, leaders, or implementors dealing with AI initiatives at an organizational level. The book will help them:

Mitigate risks when deploying AI in organizations.
Conduct systems, data protection, and rights impact assessments.
Implement AI governance policies and processes.
Benchmark and measure AI systems.

The book uses a standard approach that help readers understand complex topics by breaking them down and to make them easier to comprehend. Featuring processes to implement AI responsibly, the book covers basic concepts to aid readers apply current AI frameworks and prepare them for implementing future ones safely and ethically. The book also explores AI management systems, managing AI-related risk, and responsible AI performance.

1. Introduction to Artificial Intelligence (AI) 2. ML and Generative AI 3. Responsible AI 4. AI Risk Management 5. Artificial Intelligence Management System (AIMS) 6. Responsible AI Performance 7. Ongoing AI Concerns A. References