Compliance Made Practical: Translating the EU AI Act into Implementable Actions
The EU AI Act, along with emerging regulations in other countries, mandates that AI systems meet security requirements to prevent risks associated with AI misuse and vulnerabilities. However, for practitioners, defining and achieving a " secure" AI system is complex and context-dependent, posing challenges in understanding what actions they need to take and when they are sufficient. ISO/IEC TR 24028/29 and ENISA Securing Machine Learning Algorithms offer a comprehensive framework for AI security, aligning with the EU AI Act’s requirements by addressing risks, threats, and mitigation strategies. However, for practical implementation, these reports lack hands-on guidance. Industry resources like the OWASP AI Exchange and OWASP LLM Top 10 fill this gap by providing accessible, actionable insights for securing AI systems effectively. This paper addresses the question of responsibility in AI risk mitigation, especially for companies utilizing pretrained or off-the-shelf models. We want to clarify how companies can practically comply with the upcoming ISO 27090 and ensure compliance with the EU AI Act through actionable security strategies tailored to this prevalent use case.
Tue 29 AprDisplayed time zone: Eastern Time (US & Canada) change
16:00 - 17:30 | |||
16:00 15mTalk | Towards Responsible AI in Education: Hybrid Recommendation System for K-12 Students Case Study RAIE Nazarii Drushchak SoftServe Inc., P: Vladyslava Tyshchenko SoftServe Inc., Nataliya Polyakovska SoftServe Inc. Pre-print | ||
16:15 12mShort-paper | Compliance Made Practical: Translating the EU AI Act into Implementable Actions RAIE | ||
16:27 15mTalk | Leveraging Existing Road-Vehicle Standards to address EU AI Act Compliance RAIE P: Shanza Ali Zafar Fraunhofer IKS, Jessica Kelly Fraunhofer IKS, Lena Heidemann Fraunhofer IKS, Núria Mata Fraunhofer IKS | ||
16:42 3mBreak | Mini-break RAIE | ||
16:45 35mPanel | Panel Discussion - Diversity and Inclusion in AI (Chaired by Muneera Bano) RAIE P: Muneera Bano CSIRO's Data61, P: Rashina Hoda Monash University, P: Daniel Amyot University of Ottawa, P: Ronnie de Souza Santos University of Calgary | ||
17:20 10mDay closing | Closing Remarks RAIE Qinghua Lu Data61, CSIRO |