Evi Fuelle

Global Policy Director


Evi Fuelle

Articles By 

Evi Fuelle

What is the EU AI Act? Frequently asked questions, answered.

For businesses operating within any of the twenty-seven countries that make up the European Union, understanding and complying with the EU AI Act will be the key to successfully developing and deploying AI in Europe (avoiding penalties and actively contributing to the responsible deployment of AI worldwide). This factsheet is intended to answer some of the most common questions about the EU AI Act, providing essential insights to help businesses prepare for compliance and navigate the evolving landscape of AI regulation successfully.

Mastering AI Risks: Building Trustworthy Systems with the NIST AI Risk Management Framework (RMF) 1.0

To support the rapid growth of Artificial Intelligence adoption, the National Institute of Standards and Technology (NIST) spent a significant amount of time gathering stakeholder feedback from both the public and private sectors in order to publish a comprehensive NIST AI Risk Management Framework 1.0 (AI RMF) on January 26th, 2023. Two months later (on March 30, 2023), NIST also released a companion AI RMF Playbook for voluntary use – which suggests ways to navigate and use the AI Risk Management Framework (AI RMF) to incorporate trustworthiness considerations in the design, development, deployment, and use of AI systems.

How Businesses can Prepare for the EU AI Act: Including the Latest Discussions related to General Purpose AI

The European Parliament will vote to reach political agreement on the EU AIA on April 26th, and it is highly likely that the European Parliament’s latest version of the EU AIA text will include new provisions concerning General Purpose AI Systems (GPAIS), adding a new framework and safeguards which will place obligations on both GPAI providers and downstream developers. These new obligations will most likely include testing and technical documentation requirements, requiring GPAIS providers to test for safety, quality, and performance standards, and expectations for both GPAIS providers and GPAIS downstream developers be able to describe ways to understand the model in a more comprehensive way via technical documentation (the model must be safe and understandable). This documentation could be akin to the format known as “AI model cards,” and may be expected to include information on performance, cybersecurity, risk, quality, and safety.

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