AI Everywhere, Volume 2

Every organization is being told to "adopt AI." Few are being told how to do it well, or who pays when it's done badly.

AI Everywhere, Volume 2 is written for people seeking diverse, real-world perspectives on how to integrate artificial intelligence into professional spaces responsibly and inclusively. It's part of our series of human-centered guides to living and working well in an age of intelligent machines. Each volume and chapter is independent.

Why this book is different:

You get straight answers from people doing the work: 12 women and nonbinary authors from 7 countries who use AI in drug labs, hospitals, tax agencies, marketing teams, business schools, and mission-driven organizations. And they share when not to use AI.

What you'll gain from this book:

- Keep humans meaningfully in charge. Learn the 5 conditions that make AI oversight real, not ceremonial, and how to build ethical guardrails into high-stakes automated decisions like tax administration. (Ch. 1, 9)

- Lead AI adoption by working with people, not around them. Understand why resistance to AI is often about identity rather than skills, and see how one business school models the human+AI collaboration it teaches. (Ch. 3, 8)

- Use AI where it earns its place in science and healthcare. Cut through the hype to see what AI can and can't do in drug discovery and patient care, including the risks that come with the opportunities. (Ch. 5, 10)

- Bring human context to AI-driven marketing. Discover why the most valuable AI skill in marketing isn't technical, and how a human-centered approach makes AI work harder for your brand and your audience. (Ch. 2)

- Decide whether and how to use AI for social good. Weigh the benefits and costs of AI in organizations whose mission is to improve the world, and see how neurodivergent perspectives are reshaping human-centered technology. (Ch. 4, 7)

- See the hidden human cost of AI. Understand the labor practices behind today's AI systems so you can make more ethical choices as a buyer, builder, or leader. (Ch. 6)

Chapters:

1. Amy Swaner (USA) - "Human In Charge: Five Conditions For Meaningful AI Oversight"

2. Ana Mourão (Brazil, USA) - "The Agent Of Context: Why AI's Most Important Marketing Skill Isn't Technical"

3. Anna Levitt (Poland, USA) - "Why AI Adoption Is An Identity Crisis, Not A Training Problem"

4. Astrid J. Scholz, PhD (USA) - "AI for Good: Whether And How To Use AI When You Are In The Business Of Making The World Better"

5. Catarina Costa Abreu (Portugal, USA) - "The Algorithm Will See You Now: Opportunity And Risk Of AI In Healthcare"

6. Celeste Garcia (USA) - "Labor Exploitation: Big Tech's Dirty Secret"

7. Emma M. Joseph (Kenya) - "Emotionally Intelligent AI And The Translator In The Machine: How Neurodivergent Minds Are Rewriting The Future Of Human-Centered Technology"

8. Jennifer Percival, PhD with Tawnya Means, PhD (USA) - "The Practicing Institution: What Happens When A Business School Models The Human+AI Collaboration It Teaches"

9. Marcela Distefano (Argentina) - "When The Algorithm Decides: The Urgent Case For Ethical Guardrails In AI-Driven Tax Administration"

10. Marina T. Alamanou, PhD (Greece) - "Demystifying AI In Drug Discovery: From Hit To Lead Drug Candidate With AI"

The book includes extensive References plus an Introduction and Afterword by Karen Smiley.

Our 12 authors bring decades of combined hands-on experience with AI. Volume 2 will help you see the pitfalls and upsides of business applications of AI so you can confidently make better decisions in your professional life.