The proposed U.S. federal law makes reporting of severe AI security incidents a legal requirement with a seven-day deadline and penalties up to $2 million per violation.
The “AI Incident Reporting Act” draft makes reporting of critical AI incidents a legal obligation instead of voluntary practice, with penalties of up to two million dollars.
Giotto.ai and KPS combine AI technology with SAP integration to offer enterprises AI infrastructure that can be operated without external cloud providers.
Companies are liable for errors in their AI systems just as they are for errors by employees—a rule that prevents AI deployment from being misused to evade liability for erroneous outputs.
Saxony expands police powers to include AI-powered suspect search and facial recognition, requiring CDOs to intensify data protection monitoring and compliance for biometric data processing.
A British predictive policing model comprising at least 23 AI models showed no reliable results, highlighting the practical and regulatory limits of predictive policing.
Companies lose control over AI deployments not due to technology, but because their governance processes move slower than the speed at which employees productively use generative AI.
Anthropic accuses Alibaba of using Claude outputs to train its own models and asks the US government for support against such terms-of-service violations.
Claude Tag enables teams to use a permanently contextualized AI as a shared Slack assistant that works autonomously with administrative control over data access and proactively provides information.
Anthropic accuses Alibaba of systematically copying Claude through distillation and calls on the US government to impose stricter regulation of Chinese AI companies and export restrictions.
