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Speed made AI usable. Explainability makes it accountable. As systems move into critical domains, trust can no longer rely on performance alone. It requires transparency, traceability and the ability to question how decisions are made.
Decisions are increasingly made by systems that cannot explain themselves. As performance improves, understanding fades. Between efficiency and accountability, a structural tension emerges—one that challenges how we define reasoning, responsibility and control in the age of AI.
Europe is not just building AI models. It is shaping a different philosophy of intelligence — one that balances speed with transparency and performance with control. Between Mistral and Aleph Alpha, a deeper question emerges: what kind of systems do we trust?
