The EU AI Act represents a significant regulatory framework aimed at ensuring the safety and accountability of AI systems. It introduces a risk-based approach, defining requirements for transparency, data governance, and oversight for generative AI developers and other stakeholders in the AI supply chain.
The EU AI Act is now in effect, introducing several obligations for AI providers, particularly those offering general-purpose AI (GPAI). To ensure compliance, companies should maintain a detailed inventory of their AI models, datasets, prompts, and decision logs, while adhering to technical documentation and copyright transparency requirements.
In September 2024, Atlassian joined over 100 industry leaders in Brussels to pledge commitment to responsible AI practices as part of the EU AI Pact. A year later, they released a report detailing their progress and key actions related to their five pledges, emphasizing accountability and the importance of AI governance.
In 2025, AI has transitioned from mere buzz to practical application across various industries, highlighting the urgent need for a robust governance framework aligned with the zero trust economy. Effective AI governance not only ensures accountability and adherence to ethical principles but also accelerates innovation and productivity within organizations.
The EU AI Act establishes stringent regulations for artificial intelligence, categorizing AI tools used in legal decision-making, including arbitration, as high risk. Non-compliance with these regulations may result in courts refusing to recognize or enforce arbitral awards based on procedural or public policy grounds.
AI governance involves establishing rules and policies to ensure responsible AI use, preventing potential risks associated with AI deployment. The EU AI Act categorizes AI systems by risk levels and outlines necessary compliance measures for companies using high-risk AI applications.
The EU AI Act categorizes AI systems into four risk levels: Unacceptable, High-risk, Limited, and Minimal. Genbounty offers a free Risk Classification Wizard to help teams quickly determine their system’s category and understand the corresponding obligations for compliance.
Dr. Cari Miller discusses the differences between the EU AI Act and the US AI Action Plan, highlighting that the EU framework is much more risk-aware and imposes binding obligations on high-risk AI systems. She emphasizes the importance of balancing innovation with regulation, particularly in AI procurement, to ensure responsible practices in the rapidly evolving technology landscape.
The EU’s Artificial Intelligence Act introduces new obligations for organizations regarding general-purpose AI models, set to take effect in August. Dealmakers must enhance their due diligence processes to ensure compliance and understand the risks associated with AI systems in the context of mergers and acquisitions.
This systematic mapping study evaluates the trustworthiness of large language models (LLMs) in the context of the EU AI Act, highlighting their capabilities and the challenges they face. The research identifies significant gaps in the application of trustworthiness principles across various high-stakes domains, emphasizing the need for further exploration and development.