The Philosopher Inside Google DeepMind Who Asks: What Is AI, Really?
Iason Gabriel has spent seven years at Google trying to think through what artificial intelligence actually is and what it might do to society. As the business pressure mounts, his job is getting harder.
Key points
- Iason Gabriel joined Google in 2017, making him one of the longest-serving AI ethicists at any major technology company.
- Gabriel works at Google DeepMind, the research division that builds some of the world's most advanced AI systems.
- Commercial pressure and the race between the US and China over AI supremacy are making ethical review harder, not easier.
- The core question his work circles back to: nobody yet fully understands what a large language model, the technology behind chatbots like ChatGPT and Gemini, actually is.
Iason Gabriel is a philosopher. He works inside one of the most powerful AI labs on earth, and his job, broadly, is to ask uncomfortable questions before a product ships rather than after.
He joined Google in 2017, back when the phrase "AI ethics" still sounded academic. Seven years later, the stakes look very different.
Gabriel sits within Google DeepMind, the London-based research division that Google formed in 2023 by merging its two main AI research arms. DeepMind built AlphaFold, the system that cracked the structure of nearly every known protein. It also works on Gemini, Google's family of large language models, the same type of AI that powers conversational chatbots.
What does an AI ethicist actually change?
Honestly, that is contested. Gabriel's work involves anticipating harm before it happens: thinking through how a system could be misused, who it might hurt, what values it should reflect. But anticipating harm and preventing it are two different things.
The pressure is real. Governments in the US and China are treating AI as a strategic asset, pumping billions into development and urging speed. Companies face investor expectations and competitive threats from rivals releasing new models every few months. In that environment, a philosopher saying "wait, let's think about this" is swimming against a strong current.
Gabriel told The Guardian that one question keeps surfacing no matter how far the technology advances. "There's this deep mystery of what, actually, is this thing?" Nobody, including the engineers who build these systems, fully understands why large language models behave the way they do. They process enormous amounts of text, spot patterns, and generate responses that can seem thoughtful or even creative. But the internal mechanism remains, in important ways, opaque.
That opacity matters for ethics. If you cannot explain why a system made a decision, it becomes very hard to hold anyone accountable when something goes wrong.
For ordinary people, the practical implication is simple: the AI tools you use at work, in healthcare, or in school are built by companies where people like Gabriel are fighting for a seat at the table. Whether they win that argument shapes what those tools do to you.
Gabriel's presence does not guarantee good outcomes. But his absence would likely make them worse. The question, seven years in, is whether ethics functions as a genuine brake or as reassuring decoration on a machine moving too fast to stop.
