Learning modules and courses on AI law, AI governance, and related regulation.
According to Reuters, copyright litigation has begun producing substantive merits-stage rulings on whether using copyrighted works to train generative AI can qualify as fair use, while still leaving major questions unsettled.
Reuters: software companies are repositioning products and business models to stay relevant as generative AI changes buyer expectations and competition dynamics.
Reuters reports that a German start‑up plans a 30‑megawatt AI data centre intended to expand domestic compute capacity as European countries seek greater technological sovereignty.
Reuters reports a wave of children’s online safety laws is accelerating deployment of age‑checking technology. For AI governance, this is an enforcement-adjacent development: “age assurance” tooling is becoming infrastructure that will shape access controls, content moderation, and compliance duties across digital services.
Data centres and consumer bills. The White House says major tech firms have agreed to a “Ratepayer Protection Pledge” intended to prevent AI data-centre energy costs being pushed onto consumers, alongside grid-related actions.
Reuters reports OECD officials warning that heavy borrowing by AI firms to expand data centres and compute could make corporate bond markets more “equity-like”.
According to the Financial Times, transatlantic tensions over digital regulation are sharpening, with EU enforcement expectations under the Digital Services Act becoming a focal point in US political pushback.
Reuters reports the U.S. Supreme Court declined to hear Stephen Thaler’s appeal seeking copyright protection for a work generated entirely by an AI system, leaving lower-court rulings in place that require human authorship for U.S. copyright. It keeps “human authorship” as a gating requirement for registering and litigating AI-output copyright claims (and pushes commercial strategy toward human contribution and documentation).
The Financial Times reports five major UK media groups have formed a coalition to develop shared standards and licensing frameworks aimed at controlling and monetising AI use of publisher content.
