Miller AI Ethics in Action

A practical guide to building modern organizations through purposeful, ethical AI innovation
1. Auflage 2026
ISBN: 978-1-83546-982-8
Verlag: Packt Publishing
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 342 Seiten

The rapid rise of GenAI has led businesses to engage in discussions about ethical innovation, but these discussions often lack clear, practical guidance. AI Ethics in Action fills this gap with practical, actionable guidance from an award-winning ethicist and founder and CEO of Aeterne.
This book begins by laying a foundation in philosophical ethics, exploring the ethics of artificial intelligence before setting out a framework for responsible AI innovation, and offering strategies for measurable, ethical decision-making. The chapters provide practical advice on navigating the complex regulatory landscape that organizations, especially global ones, face. You'll be prepared for the inevitable disruptions AI will bring, with emphasis on the need for next-generation ethical considerations. You'll also discover best practices and receive practical advice through an in-depth examination of lessons learned across various industries. This book also critically examines the expectations placed on those who develop and deploy AI, addressing the challenges of moving beyond the pursuit of perfection.
By the end of this book, you'll be able to apply ethical frameworks to AI systems, tackle complex challenges, and make responsible decisions that build trust, transparency, and positive societal impact across your organization and the world.

Autoren/Hrsg.

Miller, Laura

Leseproben

Preface

After I submitted my first successful conference proposal, I told my graduate director that one day it would be published in a book. He smiled and laughed with me; I’m certain we were both remembering my undergrad writing, especially my abuse of the word “though.” That conference presentation lives on, though, and those ideas are now present in this book (with proper citation, of course).

I once wrote that I don’t believe people set out to be authors, but become one when their mind becomes so full that the thoughts must escape. That’s what my journey into writing this book looked like: an amalgamation of ideas, notes, online resources, and so many open tabs that I crashed my laptop on many occasions. (Yes, I could have bookmarked them, but somehow that felt too perfect, too done, and too linear for the work I was trying to create and the ideas I desperately wanted to explain.) Ethics is messy. It feels like painting or fine art. It’s scribbling lines only to rewrite them. It’s epiphanies that you can only capture with audio notes on the fly. In the end, logic prevails, but getting there for me was a lesson in chaotic truths that cannot be ignored – even if you haven’t planned for them. I rarely write linearly; I’ve learned I’m a mosaic writer – train of thought, rhythmic, and requiring much effort and editing to make that information attainable to others. Let me convey my sympathy to my editor who often realized that moving sentences is their go-to comment for revisions.

Most people might picture a messy desk with tons of books as the process. For me, it’s black coffee beside me and an open laptop in a crowded coffee shop. Caffeine and audacity replaced the academic view of writing. I mention the coffee shop because of the mixture of people present in third places. Nurses, teens, business people, retirees, and baristas kept me company for years as I wrote this book. They are the point and purpose of this work. One barista who asked about this book high-fived me when I told her I had submitted the final draft for editing. A nurse celebrated with me during my last visit, and a kind businessman gave me a pen and held the door. Those moments lend credence and weight to my chapters, which seek compassion and fairness for them and all those having their most ordinary day around the world.

To be honest, I don’t think anyone feels qualified to write a book, let alone a first book. And yet, we put words on paper and dare to believe they will matter – or at least be read by our five closest family members. It’s a rare opportunity to be entrusted with sharing a message for others. It’s even rarer when you are entrusted to speak about harm in society that is created through the choices we make. I am grateful, but will never feel entirely worthy of the role I’ve played in the evolution of us all – being human in this broken world we’ve made and that AI has entered. I hope that this book speaks to you and does justice to our stories, lived experience, harm, and challenges that have been shared with me.

This book is not perfect. So much is changing, and so quickly, that you’ll need to read this content with the understanding that what AI is today will not be the same tomorrow. We will need to do ethics, in addition to keeping up with regulatory changes, industry shifts, and ever-increasing third-party voluntary guidance. This book is a product of its times. I have worked to include the tools that will serve you today and in the future. But I am limited by the time and page count of a single text. The work continues online through my contributions to Ethical Engineering panel, my Substack, , and through my LinkedIn account.

Some of you might object to the idea of needing to consider ethics in your work and that these ideas will slow down innovation and opportunities. The last chapter is written for you. Others might think that there are alternative ways to do AI ethics—I can only hope that you do and that you will publish your work online, in blogs, social media, or even articles and books. I’d love to read them and to see this conversation continue and evolve.

This is the beginning of a conversation on ethical AI, not the end. We are at the Myspace level of dial-up when it comes to public AI, and we are discussing a capability that did not come with an established set of use cases. Instead, it has been left to us, not the creators of AI, to define reliable use cases and AI’s ROI. For business, the biggest challenge is how to harness it profitably and responsibly. For the public, the biggest challenge is that they come to know they are actively involved in a human research study they never consented to as both the training data and trainers of AI. We, the public, will carry the burdens of the choices AI creators make and experience a society driven by AI. For the businesses that create it, deploy it, and seek returns from the very public it impacts that you are also part of, the primary ethical responsibility falls to you.

We are all part of the same world, and each of us has a part to play in holding the ethical line.

Who this book is for

This book is for anyone interested in AI, especially those in leadership or governance roles, such as chief AI officers, AI/ML engineers, data scientists, AI product managers, chief data officers, AI ethicists, and AI policy analysts. It’s written to be accessible to all, but particularly valuable for those leading AI initiatives. Technologists, developers, and legal professionals can gain insights into ethical AI practices, even without prior knowledge. An open mind and willingness to explore ethics beyond regulation are all you need to get started.

What this book covers

, , details the moral theories we use to make decisions and helps us identify how we make choices that matter. We also explore the importance of ethics in AI.

, , examines calls for ethics alongside technological development, with particular attention to familiar prior issues of gaming and social media, renewing the call for ethics in this AI era.

, , addresses objections often used to bypass the work of doing ethics and defends ethics as having always been necessary—even more so today.

, , explores the challenge of risk and the need for a risk development framework for developers, with a meaningful conversation on confusion surrounding what trust means today.

, , sketches a framework to support AI users and the deployers who make it available to them. This framework guides deployers’ work, ensuring the AI protects users’ rights, while acknowledging that risk and rights protections alone will not offer the protection needed.

, , establishes a relational framework centered on the quality of information AI shares and its ability to nudge users and influence decisions. This chapter critiques and explores all three frameworks: risk (developer), rights (deployer to those it is deployed to), and relational (quality of information shared and our relationship to technology based on trust or untrustworthiness).

, , covers completing the frameworks using specific, measurable, attainable, relevant, and time-bound (SMART) goals and customization to arrive at measurable metrics for ethical innovation; this chapter centers on establishing measurable ROI for ethical interventions.

, , uncovers the right problems to solve, provides an evaluation of your organization, and illustrates a structured 30-60-90-day plan for adopting AI and how to scale and manage that process across the organization.

, , evaluates ethical risk, governance, and compliance. It focuses on liability, intellectual property protection, resource allocation, and public perception of mistakes.

, , explains how to apply existing regulations and the necessary guidance for a lawless reality. It covers public messaging, public relations, educating the public about AI use, and duties to others you might not have considered.

, , details the evolution of AI capabilities from and moves the discussion into interoperability and multimodal systems—and the move into collaborative systems and agentic AI.

, , discusses the shift of ethics from academia to businesses and Main Street, along with making the business case for AI and our need to ensure a future of value. We then turn our attention to sketching next-generation...