Heise's iX is hosting a compact webinar on the EU AI Act, aimed at helping companies understand what the regulation requires of them. Sessions cover labeling duties, staff AI competence, and obligations tied to high-risk AI systems, with a focus on practical implementation. It is a paid training offer rather than a regulatory announcement.
A new arXiv paper systematically examines the mandatory requirements the EU AI Act sets for high-risk AI systems and links them to concrete sources of AI-specific risk. The authors argue that structured risk taxonomies used in AI risk management can be aligned with the legal text to support compliance. The work aims to help developers and auditors translate regulatory obligations into practical risk assessments.
Denis Beau, the incoming head of France's ACPR banking and insurance regulator, argued that existing EU rules such as the AI Act and DORA are not adequate for advanced frontier models. He proposed a staged rollout, limiting access to trusted G7 partners and building European evaluation capacity. The stance matters because nearly all French banks and insurers are already exposed to these technologies.
Article 50 of the EU AI Act took effect on August 2, 2026, requiring generative AI providers to mark their outputs so they can be detected as machine-generated. A new research paper analyzes the state of AI text watermarking under these rules, coming shortly after Anthropic disclosed that Claude outputs carry watermarks. The authors highlight that current text watermarking techniques still lack reliable verification, creating tension with the new compliance requirements.