This book addresses the need to utilize and deploy AI in a responsible and trustworthy manner. AI has a lot of benefits or opportunities but also comes with risks. This book will help readers understand these risks and better mitigate these risks when deploying AI within their organizations.
“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
John J. Trinckes, Jr. is the Director of GRC Services at Elevate Consult LLC, and the author of How Healthcare Data Privacy is Almost Dead and What Can Be Done to Revive It!, The Definitive Guide to Complying with the HIPAA/HITECH Privacy and Security Rules, and The Executive MBA in Information Security all published by CRC Press. As a member of the senior leadership team, he is responsible for the delivery of quality cybersecurity, privacy, and AI advisory services to multiple clients. He maintains the following credentials: CMMC CCA/CCP, CISSP, CISM, CDPSE, CRISC, CSA CCSK, PECB ISO/IEC 27001 Sr. LA and Sr. LI, PECB ISO/IEC 42001 Lead Implementer and Lead Auditor, DHS Section 508 Trusted Tester, NSA IAM/IEM, and HITRUST CDA. As a former Data Protection Officer and Chief Information Security Officer, he led efforts and maintained several highly recognized (and coveted) certifications such as the ISO 27001 (Information Security Management System ISMS) with enhanced ISO 27017 (Cloud Security controls), the ISO 27701 (Privacy Information Management System PIMS) with enhanced ISO 27018 (Cloud Privacy Controls), the ISO 9001 (Quality Management System QMS), the ISO 42001 (AI Management System AIMS), and HITRUST CSF i1 certification. He also led efforts in maintaining SOC 2 Type II attestation, EUUS Data Privacy Framework (DPF), General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and AsiaPacific Economic Cooperation (APEC) Privacy Recognition for Processors (PRP) Certification.
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