The U.S. Marine Corps’ AI Implementation Plan emphasizes the critical role of data management as a foundation for successful AI deployments and outlines strategies for digital transformation and workforce training. It aims to enhance decision-making capabilities and operational effectiveness through the strategic use of AI technologies.
LG Uplus has received the international certification for responsible AI management, ISO/IEC 42001, signifying its commitment to transparent and trustworthy AI services. This achievement highlights the company’s proactive approach to AI governance, ensuring ethical standards and risk management in AI technology deployment.
The Responsible AI Institute has appointed Matthew Martin as a Global Advisor to enhance AI governance and transparency across industries. With over 25 years of experience in cybersecurity, he aims to help organizations navigate technological, ethical, and regulatory challenges in adopting responsible AI practices.
As cyber risks and compliance demands increase, automation is becoming essential for businesses to remain secure and agile. AI tools not only help manage risk more effectively but also transform compliance into a strategic business advantage.
The Trump administration is considering repealing the AI diffusion rule, which regulates the export of advanced computing chips, and may replace it with a simpler framework. This change comes amidst ongoing debates about balancing U.S. control over powerful AI systems with the need to promote exports of American AI products.
The article discusses the critical role of human governance in shaping the impact of artificial intelligence on society. It emphasizes that AI is not an autonomous force, but rather a human creation whose future depends on the choices made today.
IBM has published a whitepaper highlighting the transformative potential and risks associated with autonomous AI agents in the financial services sector. The document emphasizes the need for robust governance and trust-building measures as financial institutions increasingly adopt agentic AI to enhance decision-making and operational efficiency.
The rapid deployment of artificial intelligence (AI) technologies is transforming data infrastructure and global governance, but its growth poses challenges related to energy consumption and resource use. As AI infrastructure evolves faster than the necessary regulation, a new tension arises, highlighting the need for integrated governance frameworks to ensure sustainability.
The Australian Government’s interim response outlines strategies to ensure the safe and responsible development of artificial intelligence (AI) while addressing potential risks. It emphasizes the importance of regulatory guardrails, especially for high-risk AI applications, and commits to engaging with the community and stakeholders to shape effective policies.
As artificial intelligence systems increasingly shape our lives, concerns about fairness, transparency, and accountability are paramount. A critical tool for addressing these concerns is algorithmic auditing, but what exactly should these audits entail and how
