The article discusses the challenges of ensuring GDPR compliance in the context of agentic AI, which autonomously manages tasks while potentially breaching data protection regulations. It emphasizes the need for a shift from static compliance documents to dynamic mechanisms that enforce GDPR principles in real-time, ensuring accountability and trust in AI systems.
Ambient AI tools are helping to reduce clinician stress and documentation burdens in healthcare, but their rapid adoption raises concerns about governance and safety. A new study highlights the importance of rigorous validation, transparency, and clear regulatory frameworks to mitigate risks associated with AI scribes.
Oman has launched an initiative to enhance the comprehensive, rights-based Ethical AI Governance framework, marking the first global standard for the ethical use of artificial intelligence. The initiative was introduced during a workshop organized by the Ministry of Education, focusing on developing national regulatory frameworks for AI systems.
As California prepares to implement comprehensive AI regulations starting January 1, 2026, the new laws aim to enhance transparency and accountability in AI development and deployment. Key legislation includes the Transparency in Frontier Artificial Intelligence Act, which imposes stringent requirements on AI developers, and amendments to the California Consumer Privacy Act that affect employers using automated decision-making technology in hiring and management processes.
On September 26, 2025, the European Commission published the ‘Draft Guidance Article 73 AI Act – Incident Reporting’ to assist providers of High-Risk AI Systems with their reporting obligations for serious incidents. The guidance aims to clarify definitions and reporting requirements while providing practical examples of reportable incidents that infringe on fundamental rights.
The European Union has launched a comprehensive plan to establish itself as a global leader in artificial intelligence, aiming to enhance its technological independence and competitiveness against the US and China. The initiative includes two strategies: “Apply AI” to accelerate AI adoption in key industries and “AI in Science” to bolster research capabilities.
Artificial intelligence (AI) is increasingly being used in human resources (HR) for tasks such as drafting job descriptions and conducting interviews, but it also brings significant legal risks, including discrimination claims and privacy issues. Employers must ensure compliance and human oversight to mitigate these risks while benefiting from the efficiency that AI offers.
On September 25, the United Nations launched the Global Dialogue on AI Governance, aiming to provide a platform for discussions on the safe development of AI systems and addressing capacity gaps in developing countries. However, the initiative faces opposition, particularly from the United States, which rejects multilateral governance efforts, raising questions about the future effectiveness of the dialogue.
At the 80th session of the United Nations General Assembly, two new initiatives were launched: the Global Dialogue on AI Governance and the Independent International Scientific Panel on AI, both aimed at addressing critical issues surrounding AI. This ambitious governance framework seeks to promote international cooperation and informed policymaking, but challenges remain regarding enforcement, funding, and achieving equitable outcomes.
This article clarifies the differences between AI governance and information security (InfoSec), emphasizing the need for both a secure framework and responsible operational guidelines in AI initiatives. It highlights the importance of integrating AI governance with InfoSec to manage risks effectively, ensuring that AI systems are not only secure but also ethical and compliant.