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.
Singapore is leveraging Agentic AI to enhance government services, aiming for faster and more responsive public interactions while maintaining public trust. The initiative, highlighted at the ServiceNow Public Sector Forum, addresses rising citizen expectations by improving workflows and reducing bureaucratic complexities.
The AI sector is facing significant challenges as the competition for top talent clashes with corporate governance complexities, threatening the stability of AI startups. Investors must recognize that governance is now a core determinant of valuation stability amidst this evolving landscape.
Australia’s Treasurer Jim Chalmers announced a review of artificial intelligence regulation to assess whether new laws are necessary or if existing ones suffice. The government aims to accelerate a national development plan for AI, recognizing its potential to boost labor productivity, although experts warn that the benefits may not be evenly distributed.
Generative AI is transitioning from experimental hype to practical application, with organizations facing the challenge of adopting it safely and effectively. The recent 2025 AI Governance Survey reveals significant gaps in AI risk management, underscoring the urgent need for leadership to prioritize governance as a core component of their AI strategy.
As the EU AI Act is implemented, companies involved with high-risk AI systems must comply with new obligations aimed at protecting fundamental rights and safety. Key requirements include risk management, data governance, and transparency measures for users, with compliance deadlines set for August 2026 and 2027.
AI readiness extends beyond just having clean data; it involves designing products that can adapt to real-world changes and ensuring human oversight for user trust. Effective governance and a supportive culture are essential for transitioning from AI proof of concept to scalable, responsible AI solutions.
Kenya’s financial sector stands at a crossroads, needing coherent regulations and a commitment to fairness as it embraces AI technology for credit access. The recent CBK survey highlights the importance of embedding ethical governance frameworks to prevent bias and ensure transparency in AI-driven credit assessments.
AI is rapidly being integrated into marketing and advertising, with over half of marketers already utilizing generative AI for creative content and targeting. However, despite the surge in adoption, many marketers report experiencing significant AI-related incidents, raising concerns about the need for stronger governance and oversight to protect brand integrity.
Finland’s government is preparing for the implementation of the EU AI Act, which mandates compliance with general-purpose AI obligations starting August 2, 2025. This guide outlines the legal and practical steps needed for Finnish agencies to effectively utilize AI while ensuring transparency, human oversight, and adherence to new regulations.