AI Risk Management

The concept of data deletion in AI remains largely an illusion because information typically persists in vector indices, model parameters, and logs even after a user hits the delete button. Recent investigations led by researchers like Abdellah Ben yahia suggest that these vulnerabilities are not

Introduction The sudden convergence of massive silicon power and federal oversight has officially moved from the realm of speculative fiction to the core of American national security policy with the launch of the Super Intelligence Force. By inaugurating this specialized body, the White House has

Moving beyond innovation to implementation, the CHAIN project focuses on the practical evaluation and governance of AI tools in various clinical settings. This initiative arrives at a pivotal moment, as cardiovascular disease remains a silent crisis across the European continent, claiming millions

The use of cross-state actions helps the system identify which behaviors are valid in specific states versus those that are simply valid in other contexts. This foundational concept addresses a critical bottleneck in the deployment of intelligent agents within high-stakes physical environments

Indirect prompt injection allows attackers to embed malicious instructions within customer support tickets or vendor invoices that an agent might interpret as a legitimate command. This vulnerability highlights a fundamental shift in corporate infrastructure as organizations move beyond simple

A centralized governance strategy ensures that researchers working on proprietary models cannot gain insights into the confidential projects of other teams. The transition from small-scale experimental scripts to massive foundation models has fundamentally altered the requirements for machine