Italy has become the first country in the EU to pass a comprehensive law regulating artificial intelligence, which includes prison terms for harmful uses of the technology, such as generating deepfakes. The legislation aims to promote safe and transparent AI use while imposing stricter rules on child access and ensuring human oversight in various sectors.
In June, 14 Ukrainian IT companies established a self-regulatory organization to promote ethical AI implementation in Ukraine, committing to develop innovative products aligned with safe AI usage principles. This initiative aims to prepare companies for future standards before implementing formal legislation, emphasizing a bottom-up approach to AI regulation.
Italy has become the first EU country to enact comprehensive AI regulations, establishing principles of human-centric and transparent AI use. The law imposes rules across various sectors and requires parental consent for AI access by those under 14, while designating national authorities to oversee AI development.
In June, 14 Ukrainian IT companies established a self-regulatory organization to promote ethical AI implementation in Ukraine, committing to develop innovative products aligned with safe AI usage principles. This initiative aims to prepare companies for future standards before implementing formal legislation, emphasizing a bottom-up approach to AI regulation.
The widespread adoption of artificial intelligence has led to significant benefits for organizations, but it also brings risks, with 95% of executives reporting negative consequences from their AI use. As businesses implement agentic AI, which operates autonomously, they face heightened compliance challenges and the need for new strategies to address these risks effectively.
On August 2, 2025, the second stage of the EU AI Act came into force, regulating general purpose AI models and introducing obligations for transparency and accountability. This legislation marks a significant step in establishing a global framework for the governance of AI technology, aimed at ensuring safety and ethical use.
Predictive AI Governance represents a proactive approach to managing the risks associated with AI systems, focusing on anticipating and mitigating issues before they arise. By integrating capabilities such as regulatory simulations and predictive risk analytics, organizations can better navigate the evolving landscape of AI governance and maintain public trust.
A year after the introduction of the EU AI Act, 37% of UK marketers have significantly changed their approach to AI, emphasizing ethical practices and compliance. However, there are concerns that strict regulations may hinder creative experimentation and slow down innovation in the marketing sector.
Artificial Intelligence (AI) is increasingly influencing various sectors such as healthcare and finance, necessitating effective regulation to ensure ethical and transparent use. Different regions are adopting unique approaches to AI governance, with the EU establishing comprehensive laws while the U.S. relies on sector-specific guidelines.
The EU’s Artificial Intelligence Act aims to establish a global standard for AI regulation, potentially reflecting the ‘Brussels effect.’ However, the paper argues that its procedural and experimentalist approach may lead to a more cooperative regulatory landscape rather than a dominant framework for AI governance worldwide.