What does it actually mean to build ethical, safe, and responsible AI inside a real company with real deadlines, revenue pressure, and competing priorities? In this episode, Shannon Peavey sits down with Angel Evan, AI Ethicist and Practice Lead at AG Consulting Partners. Angel works directly with Fortune 500 companies and major technology organizations to operationalize AI ethics inside product development teams. His focus is not on abstract principles, rather, it’s process, execution and decision-making under pressure.

Together, Shannon and Angel explore:

Why AI ethics cannot live only in policy documents or philosophical debates
How organizations can establish common starting points even when morality is subjective
The role of product managers, engineers, and leaders in translating values into shipping decisions
What it looks like to embed ethical thinking into roadmaps, governance, and release cycles
Why learning together across teams is more powerful than waiting for perfect consensus

Angel brings deep knowledge of philosophy and ethical theory, but his work is grounded in practical application. How do you turn abstract frameworks into something that actually guides a sprint? How do you navigate competing incentives? How do you move from aspiration to implementation? If you are a product leader, technologist, or executive trying to build AI responsibly without slowing innovation to a halt, this conversation offers a candid look at what it takes to move from ideas to impact.

00:00 Introduction

01:59 AI Ethics, Responsibility, Safety: Focusing on the human condition

02:50 Turning baseline principles into real products

04:13 What is fairness?

05:50 The path from data science

06:50 How we calibrate “right” and “wrong” in organizations

09:20 Finding a common starting point

12:14 Find the threshold between risk and productivity

15:42 What is AI literacy?17:05 Building your “ethical reasoning” muscles

22:30 Cautious optimism

📚Resources:

AG Consulting https://agconsultingpartners.com/
The Stanford University Human-centered AI (HAI) Index https://hai.stanford.edu/ai-index
Angel Evan’s Machines & Meaning podcast https://angelevan.com/podcast/

The U.S. Government’s AI Literacy Framework https://www.dol.gov/newsroom/releases/eta/eta20260213

University of Edinburgh https://www.ed.ac.uk/

🌟 Where to find Angel:

On LinkedIn https://www.linkedin.com/in/angel-evan/

🙋🏻‍♀️Where to find Women in Product:

On LinkedIn https://www.linkedin.com/company/women-in-product/posts/
Website https://womenpm.org/
Join the Community https://womenpm.org/wip-community/