This week saw major global developments in AI data privacy and security. In the United States, lawmakers proposed a 10-year pause on new state AI regulations while updating children's privacy rules to require parental consent for AI training. International cybersecurity agencies warned that data integrity is the biggest weakness in AI systems, urging better protection of training data. Europe finalized guidelines for safe data transfers between countries involving AI systems. India prepared to launch its Digital Personal Data Protection Act in July, creating strict new rules for AI companies handling Indian citizens' information. Several U.S. states also began enforcing updated privacy laws affecting AI developers.

New child protection rules now require companies to get parental permission before using kids' data to train AI tools like chatbots. Security experts highlighted how bad data can lead to dangerous AI mistakes, sharing best practices for keeping information safe throughout the AI lifecycle. European officials released training materials to help companies follow AI data transfer rules when working with international partners. Meanwhile, India's upcoming law introduces heavy fines for AI firms that don't properly secure personal data or report breaches quickly.

These changes show governments worldwide racing to control AI risks while supporting innovation. The U.S. proposal to freeze local AI laws has sparked debates about balancing national standards with state rights. As AI keeps spreading, companies face growing pressure to implement stronger data checks and clear consent processes, especially when handling sensitive information like children's biometrics or health records.