In February 2025, the European Commission published guidelines to clarify key aspects of the EU Artificial Intelligence Act, including the definition of an “AI system.” The guidelines detail the necessary characteristics of AI systems, such as autonomy, adaptiveness, and their ability to infer outputs from given inputs.
The Business Council of Australia urges the federal government and private sector to act swiftly to harness the potential of artificial intelligence, warning that inaction could lead Australia to fall behind global competitors. A report highlights the importance of AI for economic growth and advocates for a structured approach to implementing AI across various sectors by 2028.
Data governance has shifted from a compliance necessity to a strategic pillar for AI-driven enterprises, requiring real-time automation and dynamic adaptation to regulatory needs. The article outlines three core pillars of AI-enabled data governance: automated policy enforcement, data lineage tracking, and the integration of AI-driven governance solutions.
The panel discussion at the AI Agenda conference highlighted the evolving landscape of global AI regulation, noting the diverging approaches taken by the EU, UK, and US. As countries navigate the balance between innovation and regulatory frameworks, the focus remains on accountability, transparency, and the need for human oversight in AI governance.
World leaders at the upcoming G7 Summit are expected to discuss how to harness the potential of artificial intelligence while establishing proper governance standards. Economic experts highlight the need to address equity issues and support those who may be disrupted by rapid advancements in AI technology.
The EU has adopted the world’s first comprehensive AI regulation, known as the Artificial Intelligence Act, which aims to balance innovation and safety by categorizing AI applications based on risk levels. However, there are concerns that this regulation could stifle competitiveness and push companies to avoid the European market due to potential fines for non-compliance.
A global study reveals that while 66% of people regularly use AI and see its benefits, only 46% are willing to trust it, highlighting a significant trust gap. The study emphasizes the need for improved AI literacy and governance to address public concerns and foster acceptance of AI technologies.
Quebec has released its AI policy for universities and Cégeps, outlining guidelines for the responsible use of generative AI in higher education. The policy aims to address ethical considerations and promote discussions on AI governance while providing practical recommendations for implementation.
In 2025, AI has transitioned from mere buzz to practical application across various industries, highlighting the urgent need for a robust governance framework aligned with the zero trust economy. Effective AI governance not only ensures accountability and adherence to ethical principles but also accelerates innovation and productivity within organizations.
The upcoming governance framework on artificial intelligence in India may introduce a “technical secretariat” to coordinate AI policies across government departments, moving away from the previous idea of establishing a regulatory body. This secretariat, to be housed within the Ministry of Electronics and Information Technology, will focus on developing metrics and frameworks while collaborating with the industry on AI-related issues.