Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Responsible AI Blueprint: Implementing NIST, the EU AI Act, and TEVV for Enterprise Scale: A practical guide to Data Lineage, Model Observability,

The Responsible AI Blueprint: Implementing NIST, the EU AI Act, and TEVV for Enterprise Scale: A practical guide to Data Lineage, Model Observability,

Falcon, Juan

Paperback

General Computers

ISBN10: 3695709170
ISBN13: 9783695709175
Publisher: Bod - Books on Demand
Published: Jan 23 2026
Pages: 160
Weight: 0.44
Height: 0.37 Width: 5.83 Depth: 8.27
Language: English
THE AI INTEGRITY MANUAL A Blueprint for NIST, the EU AI Act, and the Future of Trustworthy Autonomy The Wild West era of AI is over. The era of Accountability has arrived. As Artificial Intelligence transitions from an experimental sandbox to the central nervous system of the modern enterprise, the stakes have never been higher. With the full enforcement of the EU AI Act and the global adoption of the NIST AI Risk Management Framework, organizations face a critical turning point: evolve into a professionalized, regulated entity or risk existential legal and reputational failure. The AI Integrity Manual is the definitive operational blueprint for the 2026 regulatory landscape. Moving beyond abstract ethics and dry legal theory, this book provides a hard-hitting, technical roadmap for building AI systems that are not only innovative but inherently Trustworthy by Design. This manual is designed for the leaders, architects, and practitioners who recognize that the Black Box era of AI must end to make way for the era of Transparent Autonomy. It bridges the paralyzing gap between legal mandates and engineering reality, transforming compliance from a bureaucratic hurdle into a powerful competitive advantage. Inside, you will discover how to: Operationalize Governance: Build cross-functional Oversight Committees that move beyond Ethics Washing to exercise real executive authority over the AI lifecycle. Master the Technical Stack: Implement Data Lineage, Model Observability, and the TEVV Cycle (Test, Evaluation, Verification, and Validation) to create auditable, defensible intelligence. Neutralize Hidden Threats: Detect and manage Shadow AI and defend against the next generation of Adversarial Attacks, from prompt injection to data poisoning. Design for Humans: Prevent Automation Bias through sophisticated Human-in-the-Loop design patterns that ensure meaningful oversight. Lead with Sustainability: Navigate the emerging frontier of Compute Governance to track and optimize yo

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