From Research to Reality: Auditing AI in Practice
Auditing AI systems has moved from a theoretical aspiration to an urgent, practical necessity as artificial intelligence increasingly influences high-stakes decisions in areas like hiring, lending, healthcare, and law enforcement. While the concept of AI audits has been discussed in academic circles for years, turning those ideas into actionable processes within real-world environments presents a […]
A Beginner’s Guide to the EU AI Act Risk Classes
The EU AI Act represents one of the most comprehensive regulatory efforts to govern artificial intelligence, aiming to ensure that AI technologies deployed across the European Union are safe, transparent, and aligned with fundamental rights. One of the core components of this regulation is its risk-based classification system, which categorizes AI systems into different levels […]
The 3 Biggest Gaps in AI Safety Training Today
AI safety has become a critical concern as artificial intelligence systems are increasingly embedded into high-stakes environments—from healthcare and finance to national security and infrastructure. Yet, despite growing attention to the topic, current training approaches often fail to fully prepare practitioners for the complexity and real-world demands of AI safety. One major gap in today’s […]