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Head of Digital Innovation, R&D Quality @ Merck | I build AI and agentic systems (and their governance) that reach production in regulated environments | The Trust Architecture | Keynote Speaker · Peer reviewer
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I build AI systems that reach production in environments where being wrong is not an inconvenience. As Head of Digital Innovation & Organizational Effectiveness for R&D Quality at Merck Healthcare in Darmstadt, I founded and run the practice that takes AI from use case to deployed, adopted, monitored product. Document-grounded assistants that answer strictly from approved SOPs with full traceability. An intelligence layer that turns dispersed quality and regulatory signals into decisions. The AI Assessment Workbench - a structured front door that evaluates AI against regulatory and operational risk before anything reaches production. Most companies are racing to deploy AI. Very few are asking the harder question: what has to be true for a probabilistic system to be allowed to act - and to keep being allowed six months later? Because pilots rarely fail. They succeed, and then they stop. Nobody owned the handover, the receiving process was never redesigned, and governance showed up at the end as a gate instead of at the start as a design input. That gap is the work. Useful enough for humans to actually adopt, rigorous enough to survive an inspection. Before this I spent two decades evolving from pharmacist to quality systems leader to innovation architect - always at the intersection of science, compliance, strategy, and technology. I still build: most of the products in my portfolio started as something I prototyped in code myself. I write The Trust Architecture, a newsletter on engineering trust into AI in regulated environments. I contribute to the EMA Annex 22 consultation, to EFPIA and IFPMA work on AI in regulatory activities, and I review for npj Digital Medicine (Nature Portfolio). I'm also the founder of Multiverse Forge, where I channel a lifelong obsession with games, storytelling, and speculative futures into books, board games, and content on AI, creativity, and the future of work. What ties all of it together is a single conviction: the governance of shared intelligence - personal, organizational, civilizational - is the defining challenge of our time. If that resonates, I'd love to connect.
LinkedIn export · Oct 14, 2025 – Oct 13, 2026 · Provided by the creator, not independently verified by Naano
If an AI agent starts doing something wrong in one of your systems at three in the morning on a Sunday, who stops it? A real name. How fast? I ask colleagues this question a lot. The answers are rarely quick. On 23 September, the same question reached the UN Security Council and the US Congress, on the same day. At the UN, Bengio, Altman, Amodei and Delangue warned about AI systems slipping out of human control. No agreement came out of it. In Washington, Sanders and Casar introduced a bill to ban superintelligent AI, with up to twenty years in prison for anyone who builds it. Both explained how bad AI could get. Neither explained who would notice in time, or who would actually stop it. In pharma, every risk assessment has to answer three questions. How bad? How likely? Would we notice in time? We learned the hard way that skipping the third one doesn't work. This week's Trust Architecture is about that missing third question, and what a real stop button would need. And I'm still collecting your numbers from TA #23. Hours, days, or never?
Some of the oldest wisdom we have was simply wrong. Beat the child and he'll grow up right. Some people are born to serve. Half of humanity is lesser. For centuries, those sat next to "feed the stranger" with exactly the same authority. While writing this week's TA edition, I noticed what the failures have in common. They were claims about how the world works, usually claims that kept someone powerful comfortable. Science took them apart, fairly. What survived is about the creature we are, and that creature hasn't changed much in three thousand years. And there's a numbers side too, right? Three thousand years is roughly 120 generations of people testing ideas about how to live, and living with the results. The modern era is about eight. In 2015, when researchers tried to repeat 100 published psychology studies, only about a third held up. We know vastly more about the world than our ancestors did... and, surprisingly, little that's new and proven about how to live in it. Which makes me look at AI differently. A model receives the filtered list, the old wisdom and the new knowledge together, all at once, without a single one of those generations. A speedrun to the ending screen, glitching through every wall the rest of us had to walk around. I don't know yet if that matters. I suspect we will all know, maybe sooner than expected. Maybe the ending screen is all anyone needs. I don't think it is, but I can't prove it. TA Edition link in the first comment. Which piece of "ancient wisdom" do you still follow, that you suspect is past its expiry date?
Marginalia #9 is in Portuguese. You know, some things only come out right if in the language you swear in. Everyone back home has an opinion on Cristiano Ronaldo walking out of the national team camp, last week. Mine took 1,500 words, and stopped being about football somewhere around the middle... It became a piece about "irreplaceables". The more irreplaceable someone becomes, the more expensive the truth gets for whoever has to tell it... until nobody around them can afford it. English translation, right below the Portuguese version.
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Nuno Valério is a B2B LinkedIn creator based in Germany with 30,700 followers, posting about AI, Software, and Creative. On Naano, one sponsored LinkedIn post by Nuno Valério costs €625, a fixed price per post.
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