Tag: EU AI Act-related Consultations
Like the “Consultation Inputs” tag, outputs under this tag are responses to an institution’s public call for input. However, these consultations are related to the EU AI Act.
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Our Input to the European Commission on the Future of European Standardisation
We provided input to the European Commission consultation on the future of European Standardisation. This includes a detailed proposal for a new, more efficient, and more inclusive process to be used for writing harmonized standards to support digital and green legislation.
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Our Input to the European Commission on the Reporting of Serious AI Incidents
We provided feedback to the European Commission’s consultation on Article 73 of the AI Act concerning serious incident reporting for high-risk AI systems. Our submission addressed definitional clarity, practical implementation challenges, identified edge scenarios and coordination between overlapping EU reporting frameworks.
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Our Input to the European Commission on the Digital Simplification Package and Omnibus
We provided input to the European Commission’s Digital Omnibus consultation on the EU AI Act. Based on our Code of Practice and CEN-CENELEC participation, we addressed high-risk AI classification issues, GPAI provider obligations, and standards development delays, recommending grace periods for smaller entities and refined classification criteria.
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Our Input to the European Commission on High-Risk AI System Classification
We provided input to the European Commission on high-risk AI system classification. Our response addresses safety component definitions, value chain obligations, and proposals for expanding high-risk classifications to cover addictive and autonomous agentic systems.
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Our input to the European Commission on General-Purpose AI Guidelines
We provided input to the European Commission on general-purpose AI guidelines, addressing potential gaps in compute-based classification thresholds, downstream modifier obligations, and low-compute modifications that can significantly affect model safety.