Intellectual Property

Season 5, Episode 26. Sealed Code: When Predictive Models Go to Court

Welcome to a fascinating exploration of the hidden legal battles shaping tomorrow’s technology. Predictive algorithms have become the crystal balls of modern business, forecasting everything from home prices to healthcare costs, but they’re also becoming the center of high-stakes courtroom dramas worth hundreds of millions of dollars.

Across the globe, from Texas courtrooms to China’s Supreme People’s Court, judges and juries are answering a profound question: who owns the right to predict the future? The House Canary v. Amrock case resulted in a staggering $600 million verdict over real estate valuation algorithms, while Alibaba secured a 30 million RMB judgment against a company that allegedly scraped its predictive marketing tools. Even industrial applications aren’t immune, with companies like Shen Group successfully protecting predictive design software for machinery components.

What makes these cases particularly compelling is how they’re redefining intellectual property law. Courts are now recognizing that AI model weights, the mathematical parameters tuned during training, qualify as protectable trade secrets. Data pipelines, prediction engines, and algorithmic structures have all received similar protection. The real drama often unfolds when employees change companies, raising thorny questions about what constitutes general expertise versus proprietary knowledge that belongs to the former employer.

Healthcare prediction presents especially valuable territory, with ongoing battles between companies like Qruis and Epic Systems, or Milliman and Gradient AI, demonstrating how patient data forecasting creates immensely valuable intellectual property. Whether it’s forecasting home values on Zillow or optimizing Medicare billing, these predictive tools aren’t just convenient features, they’re corporate crown jewels worth protecting at almost any cost.

Ready to dive deeper into the invisible rules governing innovation? Subscribe now and join us as we continue to decode the legal frameworks shaping our technological future. The algorithms may predict tomorrow, but who gets to own those predictions? That’s what we’re exploring on Intangiblia.

Jean Marc Seigneur – In Trust We Build: Designing the Future of Digital Reputation – Intangiblia™

What if your glasses could spot a deepfake before your gut does? We sit down with Jean Marc Seigneur, a veteran researcher of decentralized trust, to map where security failed, where it’s catching up, and how proof—not vibes—will anchor the next decade of digital life. From central bank digital currencies to NFTs that carry qualified electronic signatures, we unpack how legal recognition and cryptography can finally meet in the middle, turning tokens into enforceable rights and payments into reliable public infrastructure.We also go beyond buzzwords to the missing pieces: education and design. Friendly apps hide sharp edges, so we talk about why countries need their own experts, not just imported tech, and how wallets must evolve with safer recovery, better defaults, and interfaces that explain risk without slowing you down. AI raises the stakes, so we explore signed videos, verifiable identities, and provenance trails that help you tell a real voice from a cloned one at a glance. Reputation won’t live on a web page for long; it’s moving into the physical world as augmented overlays that can help or harm depending on what they reveal and to whom.Bias won’t vanish either, because human trust is social and local. We discuss how to balance peer signals with regulators’ oversight, why transparency about AI use will give way to tracking human effort, and what a time-based “work token” could add to creative markets. The red thread across it all—payments, NFTs, augmented humans, and AI media—is simple and demanding: protect freedom while proving claims. If we want technology that empowers rather than deceives, we have to design, debate, and defend the trust layer itself.Enjoy the conversation? Subscribe, share with a friend who cares about digital trust, and leave a review to help more curious minds find the show.Send us a textCheck out "Protection for the Inventive Mind" – available now on Amazon in print and Kindle formats. The views and opinions expressed (by the host and guest(s)) in this podcast are strictly their own and do not necessarily reflect the official policy or position of the entities with which they may be affiliated. This podcast should in no way be construed as promoting or criticizing any particular government policy, institutional position, private interest or commercial entity. Any content provided is for informational and educational purposes only.
  1. Jean Marc Seigneur – In Trust We Build: Designing the Future of Digital Reputation
  2. Vlada Mentink – Lean, Smart, and Automated: The Entrepreneur’s Guide to Working with AI
  3. Heidrun Wechter-Essig – The Board Whisperer: Power, Pivots, and Playing the Long Game
  4. Anna Aseeva – Sustainable by Code: Rethinking Tech Governance from IP to AI
  5. Vipin Saroha – Beyond the Dashboard: How Data and AI Are Rewiring Public Value

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