Responsible AI is not just about the technology itself but also about the social decisions that shape its development and deployment. It reflects our values and power structures, making it crucial to address biases and ensure equity in its use.
A new online assessment tool offered by SAS helps insurers develop their AI governance frameworks at no cost. This tool allows organizations to assess their current AI strategies and provides customized recommendations for improvement.
ABBA’s Björn Ulvaeus and other EU creators are advocating for creators’ rights in the generative AI market, highlighting concerns over potential loss of ownership of their works under the EU’s AI Act. They emphasize the need for legislation that protects creators’ interests while fostering innovation in the tech industry.
As AI reshapes Singapore and the world, organizations must address the array of risk management challenges that this transformative technology brings. A standardized approach incorporating global consensus is essential for guiding organizations in balancing innovation with effective risk management.
China’s advancements in artificial intelligence (AI) are increasingly driven by open-source collaboration among tech giants like Alibaba, Baidu, and Tencent, positioning the country to influence global AI governance. This approach contrasts with the more closed models prevalent in the U.S., reflecting China’s strategy to leverage state support and foster a domestic AI ecosystem.
As organizations increasingly adopt artificial intelligence (AI), it is essential to implement effective AI governance to ensure data integrity, accountability, and security. The nine-point framework outlined provides practical steps to help organizations transition from theory to execution in their AI governance efforts.
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.
The proliferation of AI laws across various U.S. states is creating a complex regulatory environment that businesses must navigate to ensure compliance. With nearly 700 AI-related bills introduced in 2024, companies face significant challenges in adapting to the diverse requirements and potential legal risks associated with AI deployment.
Congress is beginning discussions on the first federal regulations for artificial intelligence, amid concerns over a growing patchwork of state laws. The hearing, led by the House subcommittee on Commerce, Manufacturing and Trade, aims to ensure the U.S. maintains its leadership in the global AI landscape while balancing the need for regulation.
A meeting in Brussels on May 20 addressed the implementation of the EU Artificial Intelligence Act, with concerns raised about its effectiveness. Key figures from the creative community emphasized the need for transparency and respect for copyright in the development of AI technologies.