The article discusses the importance of AI governance as a critical component in national AI strategies, emphasizing that social systems are more influential than technical capabilities in determining AI’s real-world impact. It argues that without effective governance to facilitate data access and integration, significant investments in AI infrastructure may not yield substantial public benefits.
Join the Global Index on Responsible AI as a Country Researcher and contribute to an impactful project by gathering evidence on responsible AI commitments in your country. This role offers compensation ranging from USD $1,000 to USD $3,000, depending on the volume of evidence collected and the local economic context.
In 2025, the demand for Generative AI in risk and compliance certification is surging as organizations face complex regulatory landscapes and increasing threats. This certification equips professionals with the essential skills to automate compliance tasks and enhance risk management capabilities.
Generative AI is revolutionizing industries, but it comes with a significant environmental cost due to carbon emissions from extensive compute resources. As the demand for large-scale models grows, developers face the urgent challenge of minimizing this environmental impact while creating powerful AI systems.
Experts discuss the implications of the recently passed H.R. 1, which would pause state and local regulations on artificial intelligence for ten years. The article examines the benefits and drawbacks of AI regulation, highlighting the need for careful oversight to balance innovation with potential social impacts.
This article examines the evolving landscape of AI governance in India, highlighting both the initiatives aimed at promoting AI adoption and the regulatory frameworks being developed to manage potential risks. The Indian government’s approach includes significant investments in AI development while adapting existing laws to address the unique challenges posed by AI technologies.
AI’s rapid advancement presents risks, especially for vulnerable populations targeted by cyber-harassment, hate speech, and impersonation. AI systems can amplify biases and be exploited to harm, specifically targeting women and girls. Red Teaming offers a strategic way to test generative AI models, revealing vulnerabilities and potentially harmful behaviors. By empowering diverse communities with accessible testing tools, and advocating for AI social good, we can strive for more equitable AI systems.
This article presents an AI readiness assessment framework tailored for the pharmaceutical industry, emphasizing the importance of aligning AI initiatives with regulatory standards and ethical practices. It highlights the critical need for transparency, data integrity, and accountability in adopting AI technologies to ensure patient safety and scientific integrity throughout the drug development lifecycle.
The UAE has announced that a National Artificial Intelligence System will become a non-voting member of all federal and government company boards, marking a significant shift in governance. This initiative aims to integrate AI as a strategic co-pilot in decision-making, enhancing the speed and transparency of governmental processes.
The European Commission announced that a code of practice to help companies comply with the EU’s artificial intelligence rules may only be implemented by the end of 2025. This delay follows calls from various stakeholders, including major tech firms, for additional time to prepare for the new regulations.
