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.
The EU AI Act, effective since August 2024, presents both risks and opportunities for investors in AI startups, necessitating a nuanced understanding of its regulatory framework. By categorizing AI systems based on risk, the Act influences compliance costs and market access, fundamentally reshaping investment strategies in the AI sector.
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.
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.
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.
As AI becomes a defining force in global innovation, South Korea, Japan, and Taiwan are establishing distinct regulatory frameworks to oversee its use, each aiming for more innovation-friendly regimes. South Korea’s AI Basic Act emphasizes a risk-based approach, while Japan’s AI Promotion Act focuses on stimulating innovation through a lighter regulatory touch.
As insurance companies increasingly integrate AI into their processes, they face regulatory scrutiny and ethical challenges that necessitate transparency and fairness. New regulations aim to minimize risks of unfair discrimination while ensuring accountability in the use of intelligent systems.
The European Commission’s final draft of the General-Purpose Artificial Intelligence (GPAI) Code of Practice has sparked discussions about its implications for AI regulation, revealing an epistemic gap in how “general-purpose AI” is defined. The EU AI Act’s rigid legal constructs may hinder adaptive governance in a rapidly evolving technological landscape, emphasizing the need for anticipatory frameworks that embrace uncertainty and flexibility.