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Martin D: Bears & Mosquitoes

Bears & Mosquitoes

Building Trusted AI from the Inside Out - A Field Guide to AI That Earns Its Keep

Shared Intelligence

Coming of Age

Trust is the missing skill of the AI era. This book shows you how to build it. AI systems already advise our doctors, tutor our children, and drive our cars. They sound confident while being wrong, intimate without being responsible, and authoritative without being accountable. Our instincts for deciding whom to trust are no match for machines that fake understanding at scale. The question is not whether AI will reshape society. It is whether humans will remain in the driver's seat when it does. In The Trust Code, Tiffany Xingyu Wang-a World Economic Forum Young Global Leader, USPTO patent holder, and digital safety pioneer who helped build AI systems protecting over a billion users-delivers the first comprehensive framework for practicing trust as a discipline in the age of AI. Trust is not a feeling. It is a decision. And it is the most consequential one you will make. Through three movements-rethink trust, decode AI, reclaim your agency-you will learn: <ul> <li>A new language for trust-where it comes from, what it rests on, and why your instincts can mislead you-so you create common ground when everyone talks past each other</li> <li>The hidden pattern behind major technological leaps from the printing press to autonomous vehicles, and why AI is the first to break it</li> <li>The forces driving AI forward-curiosity, greed, and fear-and how to separate earned trust from demanded trust so you see clearly instead of react blindly</li> <li>Thousands of AI risks distilled into three categories you can act on-mirrors, weapons, and ghosts-freeing you to decide what to mitigate, constrain, or refuse</li> <li>With clear sight and firm boundaries, what AI makes possible as it transforms how we create, heal, and power the world, and how we can stay at the center of that promise</li> <li>C.A.L.I.B.R.A.T.E.-a nine-step practice that turns trust from a feeling you have into a judgment you make, from the boardroom to your child's screen time</li> </ul> The Trust Code is essential reading for leaders, technologists, parents, and anyone who refuses to let algorithms decide what deserves their trust. The question is no longer whether to trust AI. It is how to trust wisely.

How to Unlock AI's Promise Without Losing Humanity

The Trust Code

Contemporary Debates in Philosophy

A cutting-edge selection of current issues and explorations of the ethics of artificial intelligence As artificial intelligence continues to influence virtually every facet of modern life, Contemporary Debates in the Ethics of Artificial Intelligence offers a timely and rigorous examination of the field's most pressing questions. Equally useful in the classroom or as a reference for interdisciplinary research, this volume fosters informed and critical engagement with the ethical dimensions of artificial intelligence in today's world. Curated by renowned scholars Sven Nyholm, Atoosa Kasirzadeh, and John Zerilli, Contemporary Debates in the Ethics of Artificial Intelligence brings together a dynamic mix of established leaders and emerging voices from both philosophy and computer science. The result is a uniquely structured collection of debates that not only introduces key concepts--such as agency, moral status, and value alignment--but also challenges readers to engage deeply with controversies around bias, transparency, and the societal risks posed by AI technologies. Providing frameworks for engaging responsibly with current and future AI technologies, Contemporary Debates in the Ethics of Artificial Intelligence: <ul> <li>Presents a dual-perspective debate format that fosters critical thinking and comparative analysis</li> <li>Includes both foundational conceptual discussions and cutting-edge applied ethical issues</li> <li>Features original contributions from interdisciplinary experts in philosophy, law, cognitive science, and computer science</li> <li>Addresses timely topics such as algorithmic bias, opacity, value alignment, and the moral status of AI</li> <li>Explores forward-looking concerns, including the future of AI governance and long-term existential risks</li> </ul> Contemporary Debates in the Ethics of Artificial Intelligence is ideal for undergraduate, advanced undergraduate, and graduate-level courses in philosophy, computer science, public policy, and related disciplines. It is well-suited for courses such as Ethics of Artificial Intelligence, Technology and Society, and Digital Ethics in philosophy, computer science, political science, international relations, and data science programs.

Contemporary Debates in the Ethics of Artificial Intelligence

How the rise of AI agents--and other forms of autonomous intelligence--will transform every aspect of how companies create value and compete.Companies have long operated with a basic assumption: intelligence is scarce. Talent is limited, expertise is expensive, and good judgment is hard to scale. But that world is ending.AI agents are bringing a new form of labor into the enterprise--one that can work autonomously, learn continuously, and scale instantly. Their embodied counterparts, from drones to humanoid robots, are doing the same in the physical world. Together, these systems are introducing a new economic reality: cognition is becoming cheap, elastic, and abundant.In Abundant Intelligence, Deloitte's Nitin Mittal and futurist Mike Walsh show what happens when intelligence becomes cheap and widely available. Drawing on inside access to the people leading AI transformations at the world's most powerful companies, they uncover how this shift is challenging every assumption about strategy, productivity, and leadership, and what organizations must do now to stay ahead.As abundance becomes the new normal, the leader's job shifts from collecting intelligence to directing it. Those who learn to harness this expanding workforce of digital labor will unlock new levels of speed, creativity, and advantage. For everyone else, the gap will widen fast.

How Digital Labor Will Rewrite the Rules of Business

Abundant Intelligence

In the rapidly evolving landscape of artificial intelligence, Salesforce has unleashed a platform that promises to redefine how businesses operate. This book is your guide to mastering Salesforce’s flagship AI product. Agentforce offers autonomous AI agents to streamline workflows, reduce manual labor, and unlock new productivity levels.
From order fulfilment and case management to running marketing campaigns, these autonomous agents are set to become the workforce multipliers of the future. This isn't just another technical manual, it's a comprehensive journey from concept to implementation. Whether you're a Salesforce administrator, developer, consultant, or architect, this book provides a step-by-step blueprint for creating AI agents that generate tangible business value.
Through practical methods, in-depth concept explanations, architectural insights, and example use cases, you'll gain the expertise to transform theoretical potential into operational excellence. Implementing Agentforce isn't just about understanding technology—it's about business transformation. This guide illustrates the tremendous opportunities and potential pitfalls of AI agent deployment. You'll learn not just how to build agents, but how to integrate them seamlessly into your organizational ecosystem, ensuring they become true strategic assets rather than experimental technologies.
With the help of this book, you will have the necessary skill set to launch your first agents, understand the intricate mechanics of AI agent design, and position your organisation at the cutting edge of the agentic revolution. 
Includes a Foreword by Ben Mccarthy, Founder &amp; CEO SF Ben
You Will:
¿ ¿ ¿ Learn how to integrate AI agents into your existing workflows and enterprise systems.
This book is for: Salesforce professionals (administrators, technical developers, consultants, architects, business analysts)

Plan, Design, Build and Run AI Agents with Salesforce

A Complete Guide to Agentforce

The Strategy, Governance, and Economics of Agentic AI

Building an Agentic Organization

The Governance Gap examines the widening divide between rapid AI adoption and executive control. As organizations race to deploy generative AI, agentic systems, automation, and AI-enabled workflows, many are relying on outputs before they have clearly defined ownership, review, escalation, documentation, vendor controls, and accountability.

The book argues that the real risk does not begin when AI produces an answer. It begins when an institution chooses to rely on that answer.

Through practical governance framing, operational examples, and executive level analysis, The Governance Gap gives leaders a clear way to understand where AI risk enters the organization, how invisible rework forms, and why governance must be built before reliance becomes business action.

The Governance Gap

Routledge Research in Corporate Law

Employing an interdisciplinary lens, this book examines the practices, legal frameworks, and regulatory challenges of corporate responsibility and accountability in emerging sectors, drawing on national, regional, and international case studies.In the current climate, business activities are debated and scrutinised worldwide due to their social, environmental, and human rights impacts. Concomitantly, corporations have been active agents of progress in the investment, creation, and dissemination of new technologies; fields in which the regulation of responsible business conduct is still developing. Aligning with current challenges of the United Nations Sustainable Development Goals, the book is divided into five parts and looks at AI and data, investment, production and consumption, energy, and climate change. It offers a compelling analysis of the convergences and divergences in business practices across diverse legal and regulatory frameworks. By examining the gap between law, regulation, and rapid advancements in emerging sectors and technologies, it provides actionable insights for corporate strategy, legal reform, and policy development, ensuring timeliness and practical relevance.The book will be of interest to researchers in the field of business and corporate law, corporate responsibility, and accountability.

Regulation and Practice in Emerging Sectors

Corporate Responsibility and Accountability in Business Law

This book addresses the orchestration gap between technical excellence and business value delivery in technology organizations. It introduces the concept of "Inbetweeners"-professionals who bridge the divide between engineering teams and commercial stakeholders. The text examines organizational challenges including technological complexity, siloed structures, and misaligned incentives.<ul> <li>Addresses the critical gap between technical teams and business stakeholders in technology organizations through the concept of "Inbetweeners"</li> <li>Examines the organizational challenges created by technological complexity and proposes practical frameworks for bridging the tech-sales divide</li> <li>Explores the impact of Agentic AI on product development, organizational structures, and future career paths in technology sectors</li> <li>Presents a Translation Framework for effective communication and value delivery across organizational silos</li> <li>Provides actionable strategies for hiring, retaining, and incentivizing professionals who can navigate between technical and commercial domains</li> </ul>This title has been co-published with Professional Publishing Finland. T&amp;F does not sell or distribute the print editions in Finland.

How to Translate Tech into Customer Value in the AI Era

Inbetweeners

European businesses are dangerously underprepared for the largest paradigm shift since the industrial revolution. AI is no longer a technology question. It is a leadership question.The Agentic Organisation gives CEOs, boards, and management teams a practical framework for navigating this transformation. Built around five core elements: products, people, process, technology, and data, the book shows how organisations can integrate human and AI agents to operate at a scale previously unimaginable.Drawing on 25 years of digital transformation experience grounded in the European business context, the book addresses what other AI guides ignore: regulation as competitive advantage, the role of works councils, GDPR as a trust asset, and the pragmatic approach that distinguishes European leadership from Silicon Valley hype.This is not a book about AI tools. It is a guide to becoming an organisation that is fundamentally built for the agentic era.For leaders who want to act, not just understand.

A complete AI transformation framework - European Edition

The Agentic Organisation

Chapter 1: Six Thinking Dimensions.- Chapter 2: White Dimension - The Factual AI-powered Viewpoint.- Chapter 3: Red Dimension - Feelings and Instincts AI-powered Viewpoint.- Chapter 4: Black Dimension - Judgement and Evidence AI-powered Viewpoint.- Chapter 5: Yellow Dimension - Optimistic AI-powered Viewpoint.- Chapter 6: Green Dimension - Creativity AI-powered Viewpoint.- Chapter 7: Blue Dimension - Process Management AI-powered Viewpoint.- Chapter 8: Six Thinking Dimensions - Holistic AI-powered Viewpoint.

Six Dimensions of Business Dark Data

Agentic Hyper-Personalized Dimensions

This book equips AI developers, machine learning engineers, and software architects with the knowledge and tools needed to design, build, and deploy scalable autonomous agents. Beginning with foundational concepts in LLMs and agent architectures, the book transitions into hands-on design patterns and real-world implementation guidance. Readers will follow practical Python examples using cutting-edge frameworks like LangChain and AutoGen, with full reproducible code available on GitHub.
Emphasizing engineering essentials scalability, interoperability, observability, and ethics the book dives into multi-agent coordination, including emerging protocols such as MCP and A2A. It wraps up with compelling case studies from customer service bots to multi-agent analytics systems demonstrating how to build secure, stable, and trust-aligned AI agents. This guide bridges theory with practice for the modern AI practitioner.
You Will:
<ul>
<li>Discover reusable patterns such as reactors, planners, and tool-using agents that power effective autonomous systems.</li>
<li>Learn to build agents using Python with popular frameworks like LangChain and AutoGen, complete with reproducible GitHub code.</li>
<li>Dive into cutting-edge coordination mechanisms (e.g., MCP, A2A) that enable agents to collaborate and assign tasks dynamically.</li>
</ul>
&nbsp;
This book is for : Software Architects &amp; System Designers
&nbsp;

Architecting Scalable, Ethical, and Trustworthy Systems for Enterprise

Agentic AI Systems in Practice

Bears & Mosquitoes

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