As we discussed in an earlier piece, the final Code of Practice will play a complementary role to the AI Act – compliance with the measures set in the Code will allow GPAI model providers to demonstrate compliance with their obligations under the Act.
In our written comments to the consultation, we call for improvements to the first draft of the Code of Practice in the following areas:
Documentation. We ask for the Code of Practice to require more detailed information from GPAI model providers on testing outcomes, including any mitigations undertaken, the impact of those decisions and the impact on the models.
Transparency. The draft should expand the categories of information shared with downstream providers seeking to deploy AI models responsibly, including information on methods to detect unsuitability of data sources, biases in the data, and details on testing processes and results.
Systemic risks. The taxonomy included in the first draft insufficiently addresses risks to fundamental rights and gives outsized prominence to theoretical safety risks of unclear likelihood. The draft should include additional risk categories to reflect the full spectrum of fundamental rights concerns and ensure that mitigations taken to address risks do not pose threats to fundamental rights themselves, such as the right to freedom of expression.
Open source models. The draft does not sufficiently consider the needs of open source providers, and its provisions should be clarified to reduce the burden on open source providers.
Potential Avenues for Redress for AI-related Harms under EU Equality and Non-Discrimination law: A Visual Explanation
In this third instalment of the series, we look at the opportunities afforded by EU equality and non-discrimination law in providing redress for AI-related harms.
General-purpose AI Code of Practice Implementation: A Rights Blindspot
CDT Europe's analysis of the entry into application of the European Commission’s enforcement powers towards general-purpose AI (GPAI) models, detailed and operationalised in the GPAI Code of Practice.
As Brussels starts emptying for the summer, the risks of frontier AI models continue to capture the attention of policymakers as a key chapter of the AI Act becomes enforceable, and disclosure rules around the use of AI systems and AI-generated content are further clarified.
CDT Europe’s Feedback on the Draft Guidelines for the Classification of High-Risk AI Systems under the AI Act
CDT Europe responded to the European Commission’s consultation on the draft guidelines for the classification of high-risk artificial intelligence systems.
