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 article discusses the urgent need for a cohesive framework for AI governance to address the fragmented and ineffective approaches currently in place. It proposes a risk-informed governance model that focuses on assessing and managing AI risks, enhancing accountability, and ensuring global harmonization to foster responsible AI implementation.
AI is advancing more rapidly than regulations, presenting both risks and opportunities for compliance teams. Organizations must proactively adopt frameworks to manage AI risks and embrace a continuous, adaptive compliance process to keep pace with evolving threats and regulations.
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.
The post discusses the importance of Responsible AI, emphasizing that it is not merely an optional initiative but a leadership obligation directly tied to brand trust and long-term competitiveness. It outlines the need for ethical frameworks, accountability, and transparency throughout the AI lifecycle to prevent harm and ensure alignment with societal values.