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Spektor

Editorial

Analysis and observations from Spektor on the governance and adoption of artificial intelligence, and on thinking critically about it. Texts that originate here, not content recovered from other channels.

New content will appear when there is something to say, not before.

  1. Trade secrets in the age of artificial intelligence

    Trade secret law protects innovation, but it can also become a barrier to outside scrutiny. A US case shows the opposite risk: whoever enters confidential information into an AI platform may lose its protection.

    Raffaella Aghemo

  2. Consent collected for a diagnosis does not authorise training an algorithm

    A class action in the United States accuses Tempus AI of using genetic data collected for diagnosis to train artificial intelligence models and for commercial agreements with the pharmaceutical industry, without new consent. The case concerns any organisation considering reusing data collected for one purpose.

    Raffaella Aghemo

  3. Who decides whether a system is "high-risk" does not just look at the code

    The European Commission has published draft guidelines on classifying high-risk AI systems. The most relevant point is not technical: it concerns how an organisation describes its systems, wherever it does so.

    Raffaella Aghemo