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Adendorff D: Decision Before Consequence

Decision Before Consequence

Build an AI security operating model that manages risk, strengthens governance and enables AI to scale securely. AI Risk Management is a practical guide for AI risk owners, GRC managers, AI governance managers and technology risk professionals responsible for managing the security risks of AI.Written by security expert Rafah Knight, this book shows how to make AI security operational, measurable and embedded into existing business processes. It provides practical guidance on establishing ownership and accountability for AI risk, designing effective governance structures, implementing policies and controls and managing third-party AI vendor exposure.Drawing on real-world examples from financial services, retail, the public sector and healthcare, learn how to: - Build an effective AI security operating model - Establish clear ownership and accountability for AI risk - Design AI governance policies, controls and assurance processes - Measure AI security and operational risks effectively - Manage third-party AI vendor exposure at scaleAI Security gives you the practical structures and controls to operationalize AI assurance, strengthen AI governance and support secure AI adoption at scale.Themes include: AI security, AI risk management, AI governance, GRC, AI assurance, third-party AI risk

How to Scale AI Securely

AI Risk Management

Risk, Governance and Society

From Data Analytics to Global Risk Governance

Evolution of Anomaly Detection

Governing the Edge

The Next Room

Artificial intelligence is transforming how organizations operate, innovate, and compete, but it also introduces new challenges in governance, risk, security, and accountability. This book provides leaders with proven frameworks for adopting AI responsibly while maintaining control over its risks. Written by Alec Crawford, a Harvard-trained AI expert and CEO of a leading AI risk firm, it equips readers with actionable frameworks for governance, risk management, compliance, and cybersecurity tailored to the realities of AI adoption.Inside, you’ll find tools like The AI Journey, a roadmap for safe implementation; AI GRCC, an integrated framework for Governance, Risk, Compliance, and Cybersecurity; and The AI Team, a model for defining roles, responsibilities, and oversight. Real-world examples and cautionary case studies demonstrate how governance failures occur and what organizations can do to prevent them.Whether you’re a business executive, risk professional, compliance leader, or technology manager, this book helps you balance innovation with oversight, navigate an evolving regulatory landscape, and build trustworthy AI-enabled organizations. Accessible yet authoritative, it’s essential reading for anyone shaping strategy in the AI era.Alec Crawford has been at the forefront of artificial intelligence and risk management for nearly four decades. His journey began in 1987 at Harvard College, where he designed and built neural networks long before AI entered the mainstream.He went on to hold senior positions at Goldman Sachs and Morgan Stanley before becoming Partner and Chief Investment Risk Officer at Lord Abbett, where he oversaw global investment risk and spearheaded initiatives applying AI to investment management.Today, Alec is the Founder and CEO of Verapath, a pioneering company that helps financial institutions adopt AI securely and responsibly, and the inventor of patented systems for AI Governance, Risk, Compliance, and Cybersecurity (AI GRCC).An independent corporate director, sought-after speaker, and host of the top-ranked AI podcast AI Trust but Verify, Alec combines deep technical expertise and senior financial leadership with a practical perspective on building trust in AI.

A Framework for Innovating Safely and Building Trust

Leading AI Risk Management

Computers, Privacy and Data Protection

Who decides how data and AI are governed, and whose rights prevail?This open access book brings together contributions from the CPDP conference in Brussels, Europe's leading forum on privacy and data protection. Ten years after the GDPR, digital governance stands at a crossroads. The EU has layered the DSA, DMA, Data Act and AI Act onto its data protection regime, while calls for simplification grow louder and governments from Brazil and Mexico to Canada and Southeast Asia pursue their own regulatory visions. The book examines algorithmic oversight and automated decision-making in the UK, AI and directors' duties in Canadian corporate law, data governance for connected vehicles in the EU, GDPR-inspired access rights across Japan and Southeast Asia, the Brussels Effect in Brazil and Mexico, location-data provenance and digital trust infrastructures, and the inequalities produced by biometric and health data infrastructures in Europe and India.The chapters show that governance failures rarely stem from a shortage of rules. They arise when regulatory visions, technical architectures and institutions pull in different directions. Read together, they make the case for treating disagreement not as an obstacle but as a democratic resource.With its blend of doctrinal analysis, critical theory and socio-technical insight, this book is for academics, policymakers, practitioners, DPOs and students working on data protection, AI regulation and digital society.The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.

Competing Visions, Shared Futures

Data Protection, Privacy and Artificial Intelligence, Volume 19

AI Firing Freeze: Why fully-staffed organizations thrive in an AI-driven economy challenges one of the biggest assumptions in modern business; that artificial intelligence capabilities should automatically lead to workforce reduction.

As organizations race to implement AI chatbots, AI agents and agentic AI solutions, many are planning layoffs and hiring freezes in pursuit of short-term cost savings. But what if that strategy is fundamentally flawed?

Drawing on proven patterns of technological transformation, innovation, market expansion and real-world operational risks, AI Firing Freeze argues that the organizations most likely to thrive in an AI-driven economy will not be those that aggressively reduce headcount, but those that retain, repurpose and upskill their teams to work alongside AI for exponential results.

AI Firing Freeze shows you how to combine the strengths of AI with the human insight, critical thinking, experience, curation and governance your organization needs for success.

This book gives you clear guidance for maximizing the value - and minimizing the risk - of your AI solutions. It shows you how to leverage high-powered hybrid human and AI teams to run your operations; how to identify the AI initiatives that deliver the greatest ROI; how to inventory, monitor and manage all of your AI initiatives; how to secure your investments with AI governance; and how to ensure that every AI solution has the right level of supervision and human intervention to protect your organization.

Inside, readers will discover:Why human vision, creativity, judgement, quality control and expertise are critical differentiators in an AI-driven economy
The hidden operational, financial, reputational and liability exposures of overreliance on AI with insufficient human involvement
What is causing the "AI boomerang effect" and how to avoid that trap
A step-by-step process for building your AI-empowered organization
Role-specific guidance on leveraging your current teams 
Tools for realistic resource planning with hybrid human and AI teams
How to establish an AI governance framework that helps your organization scale safely and sustainably.





AI Firing Freeze inspires your organization to see beyond the initial allure of using AI capabilities for quick overhead reductions. It shows you how to combine AI and human strengths to superpower your teams, unlock innovation, expand your markets, increase resilience and create sustainable long-term growth.

Before you downsize for the promise of AI, you need to read this book.

Why fully-staffed organizations thrive in an AI-driven economy

AI Firing Freeze

When the Decision Matters

Shared Intelligence

Coming of Age

Turn AI investment into scalable business impact by enabling your workforce to build the solutions they actually need. From AI Users to Solution Builders is a strategic guide for senior AI, technology, and transformation leaders who want to move beyond underperforming, centralized AI initiatives, and unlock real enterprise value. As organizations struggle to translate AI into measurable results, this book shows how shifting from top-down deployment to workforce-led solution building creates faster adoption, stronger ROI, and sustained innovation. Written by experienced AI leader Wei Manfredi, this book combines strategic insight with practical execution. It draws clear parallels between failed digital transformation efforts and current AI adoption challenges, while demonstrating how natural language interfaces are reshaping access to AI. By enabling non-technical professionals to design their own tools, organizations can embed AI directly into workflows, decision-making, and daily operations. You'll learn how to: - Shift from centralized AI models to workforce-driven innovation - Enable employees to build AI solutions for real workflows - Design scalable infrastructure for AI solution development - Apply change management to overcome resistance and drive adoption &gt;Featuring real-world examples from organizations including Lululemon, Google, Oracle, and JPMorgan Chase, this book provides a proven framework for embedding AI into everyday collaboration, accelerating innovation, and future-proofing your organization's competitive advantage. Themes include: AI strategy, AI adoption, workforce transformation, AI governance, enterprise AI, change management

Scaling AI Across Your Organization

From AI Users to Solution Builders

This book offers an accessible guide to the economics of digital transformation in Europe. With a particular focus on artificial intelligence, it brings together policy analysis, legal insights, technical innovations, and practical case studies to highlight the economic opportunities and social challenges associated with the digital agenda. The impact of artificial intelligence and the digital transition is assessed across a number of different contexts, including governance, regulation, governmental decision-making, industry, and education. The potential for artificial intelligence and technological innovation to drive sustainable industrial development, enable the circular economy, improve education, and enhance global cooperation are also outlined.
This book shows how the digital transition can transform economies and societies. It will be relevant to students, researchers, and policymakers interested in the digital transition, the political economy, and economic policy.

Economic Challenges and Solutions

European Digital Agenda and Artificial Intelligence

International Marketing and Management Research

Exploring AI-Driven Innovation, Trust, and Responsible Technology in the Digital Age

Artificial Intelligence and Social Robotics in Business

Decision Before Consequence

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