Articles from Around the Web

Discover the latest industry insights and developments with our News from Around the Web page. We curate feeds from a variety of reputable organizations, bringing you a comprehensive overview of relevant news and trends. Stay informed and connected with the most current updates from across the web.

CNIL offers thoughts on third country data security

France's data protection authority, the Commission nationale de l'informatique et des libertés, indicated the European certification scheme for cloud services currently lacks proper requirements to protect sensitive data from authorities in third countries. The agency recommends using a service provider subject to European law to prevent possible risks with disclosures and unauthorized access.Full story

Netherlands' DPA issues latest 'AI and Algorithmic Risks Report'

The Netherlands' data protection authority, Autoriteit Persoonsgegevens, issued a public call for vigilance among everyday citizens and elected officials related to the deployment of artificial intelligence. The AP's latest AI and Algorithmic Risks Report analyzed how generative AI can spread misinformation and how municipal governments have little control over the use of their own AI systems. It also recommended the establishment of a national AI strategy.

South Korea's PIPC issues guide on using public data for AI training

South Korea's Personal Information Protection Commission published guidance to clarify the use of publicly available data to help train artificial intelligence models. The guide clarifies legal standards for data collection and use toward AI training and outlines minimum standards for appropriate safety measures that could be applied depending on the type of business or AI deployment.

Ireland, France issue guidelines on data protection for AI

Ireland's Data Protection Commission published guidance on the relationship between large language models and data protection obligations. The DPC said LLM developers may have a tendency to use vast amounts of personal data during training phases without the data subject's knowledge or agreement and that inaccurate training data may create biases when training a model.