The post discusses the increasing importance of artificial intelligence (AI) on the agendas of corporate boards, highlighting that many boards still lack sufficient knowledge and experience with AI. It emphasizes the need for proactive engagement and comprehensive oversight to leverage AI’s potential for innovation and operational efficiency.
The article discusses the role of sovereign public clouds in balancing innovation and compliance in the age of AI, emphasizing their importance for data sovereignty and security. It highlights how organizations in the UAE can leverage these solutions to drive digital transformation while adhering to local regulations.
This article discusses the governance and regulatory concerns surrounding generative artificial intelligence (GenAI) and large language models (LLMs) in medical education. It highlights the potential applications of these technologies while emphasizing the need for effective regulation and ethical considerations to ensure academic integrity and patient safety.
On May 7, 2025, the European Commission published a Q&A on the AI literacy obligation under the AI Act, clarifying that these requirements apply to all providers and deployers of AI systems. The Commission emphasizes the need for organizations to ensure a general understanding of AI among their staff and outlines key considerations for compliance.
As automation becomes increasingly prevalent, ethical concerns regarding bias and compliance in AI systems are rising. Biased algorithms can lead to unfair outcomes in critical areas like hiring and healthcare, highlighting the importance of transparency and accountability in system design.
A bipartisan group of California lawmakers is urging Congress to remove a provision from a federal tax bill that would prevent states from regulating artificial intelligence for the next decade. They argue that this provision threatens public safety and undermines state sovereignty, especially given California’s significant role in the AI industry.
To create inclusive AI, it is essential to build it on representative data that reflects the full diversity of human experience. This requires modernizing data infrastructure, fostering collaboration, and committing to ethical design to ensure that AI serves all communities effectively.
The United States is on the verge of enacting a federal measure that would impose a ten-year ban on state regulations concerning artificial intelligence (AI), a provision included in President Trump’s ‘One Big Beautiful Bill Act (OBBBA) 2025.’ This decision has sparked significant opposition from various lawmakers and civil society groups, who express concerns over the potential risks to consumer protection and regulatory oversight.
Since 2016, over thirty countries have enacted laws addressing Artificial Intelligence, and discussions about AI regulation are intensifying globally in 2025. UNESCO’s consultation paper outlines nine regulatory approaches to AI, ranging from light-touch measures to more coercive regulations, highlighting the need for a balanced framework in AI governance.