The EU has launched the AI Act Service Desk and the Single Information Platform to help businesses navigate the complexities of the AI Act before its full implementation in August 2027. Despite these efforts, critics argue that the legislation creates uncertainty regarding data usage for training AI models, prompting many organizations to call for a delay in the Act’s implementation.
Radian’s playbook for AI emphasizes the importance of governance, growth, and operational excellence in the mortgage and real estate sectors. As leaders navigate the complexities of AI adoption, they must balance innovation with compliance, ensuring that technology enhances human elements in the homebuying process.
Generative artificial intelligence (GenAI) is transforming how federal agencies and their partners operate, with a significant percentage of federal respondents already using AI daily. As agencies move from pilot programs to full-scale deployment, contractors have new business opportunities to develop secure AI solutions tailored to government needs.
Alberta needs to implement its own AI regulation to protect citizens and industries from the hidden risks of unchecked technology. Without proper safeguards, the potential harms of AI could outweigh its benefits, highlighting the necessity for provincial legislation tailored to the unique circumstances of Alberta.
On September 23, 2025, Italy’s new law on artificial intelligence was signed into law, complementing the EU AI Act and establishing guidelines for the use of AI across various sectors. Key provisions include regulations on personal data usage for scientific research, employer obligations regarding AI in the workplace, and specific protections for minors accessing AI technologies.
According to Acuvity AI’s 2025 State of AI Security report, enterprises are poorly governed and fragmented in their approach to AI security, with many expecting significant risks and incidents in the near future. Key concerns include anticipated data loss through generative AI tools, Shadow AI incidents, and AI-driven insider threats, while a significant percentage admit they lack optimized AI governance.
Without proper governance, AI in finance risks becoming a black box of unexplainable decisions and compliance gaps, undermining trust. The role of the CFO is evolving to ensure that AI tools are trustworthy, transparent, and auditable, ultimately transforming AI into a controllable strategic asset.
As global leaders gather in Tallinn for the Digital Summit 2025, reflections on Estonia’s Soviet past reveal important lessons for modern AI governance. The article argues for governance models that emphasize diversity, distributed authority, and community-informed design to avoid the pitfalls of past collective failures.
AI global governance is the system of rules and collaborations that countries and organizations are developing to manage artificial intelligence across borders, aiming to ensure its safety, fairness, and utility for all. The urgency for international cooperation arises from shared risks such as misinformation and economic disruption that transcend national boundaries.
The UN has initiated a global dialogue on AI governance, creating an inclusive space for governments and stakeholders to address pressing AI challenges. As part of this effort, the Independent International Scientific Panel on AI has been established to assess the transformative impact of AI on society, with a call for nominations open until October 31, 2025.