Creative Duel: Personalization versus Privacy
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Creative Duel: Personalization versus Privacy

Sarah Wallace argued that generic is not neutral and that relevance builds trust. Eric Smallwood argued that privacy was once the default and quietly stopped being one. A room of people who build personalized experiences voted for privacy, which is the finding worth sitting with.

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Too Quiet the AI Gets Missed, Too Loud the Patient Does
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Too Quiet the AI Gets Missed, Too Loud the Patient Does

A patient arrives, a clinician captures an image, and AI runs on it. There are three actors in the room where there used to be two. Kevin Yuda of GE Healthcare on designing that presence, and why every choice in it is a patient safety choice.

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Your Data Cannot See the Future
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Your Data Cannot See the Future

The word data has quietly narrowed to mean one kind of evidence, and that narrowing became structural just as the industry entered a moment requiring invention rather than optimisation. Ashley Craig of AnswerLab on metrics as values, and the device nobody mounted on a wall.

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From the New Bauhaus to Now: Why We Sat in That Building
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From the New Bauhaus to Now: Why We Sat in That Building

The Bauhaus manifesto came out of a war. The Agile manifesto came out of a room of frustrated developers and redirected a generation of careers. Carlos Manalo on why the newest AI manifesto was written for the boardroom, and what practitioners need to write instead.

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Innovating Across Time: Why Nivan Is Not a Conference
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Innovating Across Time: Why Nivan Is Not a Conference

Conversations about innovation have become fast and shallow, looking only at what is next. Nivan was built differently, bringing past, present and future into one room. The thinking behind the three innovation portals, and the ten tenets of the Nivan Manifesto.

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One Technical Lens Is Not Enough: The Phoropter and the Boat
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One Technical Lens Is Not Enough: The Phoropter and the Boat

The technical worldview inside AI teams was inherited rather than chosen, and it operates quietly beneath every design decision. Anthropologist Suzanne Currie offers two metaphors and six human lenses for steering a system that the technical lens alone cannot steer.

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Show Me the Breadcrumbs Back to the Real Problem
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Show Me the Breadcrumbs Back to the Real Problem

Most teams jump straight to brainstorming. Tony Bynum of the Institute of Design asks for the breadcrumbs back to the real problem, then offers a structured, repeatable way to move into an uncertain future that anyone can use regardless of job title.

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AI Would Have Designed a Minivan With One Door
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AI Would Have Designed a Minivan With One Door

Two products, an auto injector and a minivan, and one argument. Both innovations were invisible in the existing data, and both came from cross functional teams who stopped talking long enough to watch people struggle. Bob Nesbitt on why AI cannot do this part for you.

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Creative Duel: Scale versus Craft
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Creative Duel: Scale versus Craft

Noel Childs of Digitas argued that the profession has scale wrong. David Kazaryan of United argued that customers do not care how fast you ship. One rule applied. No compromise. The room voted and produced a tie, which turned out to be the most revealing result available.

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Insights Theater, the Alignment Trap, and Research as Ritual
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Insights Theater, the Alignment Trap, and Research as Ritual

Insights theater. The alignment trap. Research as ritual. Three patterns that refuse to disappear, named precisely by Netflix consumer insights manager Linnea Hagen, along with the uncomfortable observation that AI does not remove any of them. It scales all three.

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Assume It Works: Why the Steam Engine Only Paid Off in New Factories
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Assume It Works: Why the Steam Engine Only Paid Off in New Factories

Steam engines installed in existing factories produced no productivity gains. The gains arrived only when factories were built assuming the engine. Gavin Lew applies that pattern to autonomous vehicles, fleet operations, and the invisible ecosystem that decides whether an innovation survives its own success.

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Creative Duel: Human Judgment versus AI Assistance
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Creative Duel: Human Judgment versus AI Assistance

Amazon against Microsoft on the question the room had been circling all day. Bennett Hornbostel argued that approving what you do not understand is symbolic approval. Varun Kapoor argued that AI is a peer and the guardrails are your job. No winner was declared.

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The Friction You Are Removing Was Doing Something
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The Friction You Are Removing Was Doing Something

"Now I don't need to bug someone." Casey Hudetz heard that sentence everywhere, and named what it adds up to: a bug free workforce. The gains are real. But the friction AI removes is not always waste. Some of it was where trust got built, where context got shared, where a junior person learned by watching someone think out loud. Sherry Turkle, Project Aristotle and an MIT badge study on coffee breaks on what we lose when the interruptions disappear.

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