The emergence of new military technologies has historically prompted ethical and strategic debates about their use. As democracies face AI challenges in warfare, the need for responsible development aligned with humanitarian standards is more pressing than ever.
The keynote at the ICEGOV 2025 conference emphasized that AI governance must be grounded in the mathematics of learning, highlighting algorithmic limitations and trade-offs. Effective regulation should focus on risk-based realism, ensuring accountability and practical policies.
EU member states are set to finalize their positions on proposed amendments to the AI Act by April 2026, addressing enforcement issues and technological developments. The regulation, effective since August 2024, aims to refine definitions for high-risk systems and general-purpose AI model requirements.
Procurement is evolving from a back-office function to a strategic operation, driven by increasing AI investment. Current studies show that 90% of leaders are using or considering AI agents, with the AI procurement market expected to grow from USD 1.9 billion to USD 22.6 billion by 2033.
Trai Chairperson Anil Kumar Lahoti emphasized the importance of resilient AI infrastructure and robust self-regulation to mitigate risks and ensure adaptability in the evolving digital landscape. He highlighted that accessibility, resiliency, and efficiency must be central to India’s AI infrastructure strategy as the country aims to capture a significant share of the global AI market.
EU governments aim to reach a negotiating position on AI Act amendments by late March or early April, amidst ongoing debates over the removal of the registration requirement and concerns regarding biases, AI literacy, and enforcement.
AI governance is a strategic balance between regulation and innovation. The contrasting approaches of the U.S. and EU highlight the challenge of fostering innovation while ensuring safety and accountability.
Kiteworks highlights significant AI security gaps in the energy sector, exposing critical infrastructure to nation-state attacks. With only 9% of organizations conducting AI red-teaming and limited centralized monitoring and incident response capabilities, the sector remains vulnerable to sophisticated threats.
The Malta Gaming Authority (MGA) is drafting a voluntary AI governance framework for gaming operators to establish responsible AI practices, align with emerging EU regulations, and ensure player protection and compliance.
The Government of India has released a whitepaper outlining a roadmap for democratizing access to AI infrastructure, aiming to ensure equitable participation in the digital economy, especially for those using regional languages. This initiative includes establishing a national repository for AI datasets and models and expanding the national GPU pool accessible via government-supported cloud infrastructure.