When Dr. Eleanor Drage walks into a room, you know you're about to have a conversation that challenges everything you think you know about AI. And that's exactly what happened when we sat down with one of the world's leading AI ethicists.
If you're building the next generation of AI companies, this episode is essential listening. Here's why.
The Problem with "Ethics Washing"
We've all seen it: companies slapping ethics statements on their websites and calling it a day. Dr. Drage calls this "ethics washing," and frankly, it's everywhere.
The real issue? Most organisations don't understand what they're actually trying to achieve. When a media company titled a panel "Balancing Bias," Dr. Drage asked the simple question: what does that even mean? The answer was revealing, because you can't balance bias against profits. You have to choose.
The Communication Gap Nobody's Talking About
Here's something that should worry every founder: the people building your AI systems and the people talking about AI ethics are speaking completely different languages.
Dr. Drage spent two years interviewing AI engineers about bias. Their answer? "It's the intercept between the x and y axis." Technically correct. Meaningless to the conversation happening in the media and boardrooms.
"These conversations we're having in the media about bias and debiasing are completely meaningless to the actual people making these technologies."
The HEAT Framework: A Practical Blueprint
So what does good practice actually look like? Dr. Drage and her team created HEAT—a framework that distils the EU AI Act into something founders can actually use.
Key principles:
Human-centred design (talk to your users, not just your engineers)
Ethical development at every stage
Accountable processes
Transparency throughout
It's not linear. Ethics isn't a box to tick at the start—it's cyclical and constant.
The Stories We're Not Telling
Media portrayals of AI are stuck in a doom-utopia cycle, recycling the same tired imagery: the Terminator, digitised bodies, the Vitruvian Man. But these images tell us nothing about what AI actually is.
Instead, Dr. Drage advocates for the Better Images of AI resource—copyright-free alternatives that tell richer stories.
Cambridge's Competitive Advantage
What's fascinating is how Cambridge is doing this differently. Projects like "AI in the Street" bring academics and local government together to understand real-world impacts. The result? Innovation that's grounded in actual human needs.
The Takeaway
Whether you're a founder, investor, or engineer, this episode challenges you to think harder about what "doing AI right" actually means. It's not about grand gestures or impressive statements. It's about having difficult conversations, listening to your engineers, and building systems that reflect real human values.
Dr. Drage's new book, What if We Got AI Right?, explores these ideas in depth with practical examples from around the world—from pollution monitoring in the Niger Delta to sustainable cloud computing in Latin America.
Ready to challenge your assumptions? Hit subscribe and tune in.