Close This website uses modern features that are not supported by your browser. Click here for more information.
Please upgrade to a modern browser to view this website properly. Google Chrome Mozilla Firefox Opera Safari
Financial Services Intelligence Watch
Sub Menu
Search

Search

Filter
Filter
Filter
Filter
A A A

Google to pay world's largest data protection fine

Publish date: 25 January 2019
Issue Number: 55
Diary: CompliNEWS
Category: Enforcement

Legalbrief Forensic

The French data protection watchdog CNIL has fined Google a record €50m for failing to provide users with transparent and understandable information on its data use policies. According to a report in The Guardian, for the first time, the company was fined using new terms laid out in the pan-European general data protection regulation. The maximum fine for large companies under the new law is 4% of annual turnover, meaning the theoretical maximum fine for Google is almost €4bn. The fine was levied, CNIL said, because Google made it too difficult for users to find essential information, ‘such as the data-processing purposes, the data storage periods or the categories of personal data used for the ads personalisation’, by splitting them across multiple documents, help pages and settings screens. That lack of clarity meant that users were effectively unable to exercise their right to opt out of data-processing for personalisation of ads. Additionally, the watchdog found that even when user consent was collected, it did not meet the standards under GDPR that such consent be ‘specific’ and ‘unambiguous’, since users were not asked specifically to opt in to ad targeting, but were asked simply to agree to Google’s terms and privacy policy en masse.

Full report in The Guardian

Working Smart

By Lee Rossini

Although still in its infancy, the term agentic AI is being heard more frequently. It refers to AI that can act autonomously to achieve goals, make decisions, and adapt to changing environments with minimal human intervention. Unlike traditional AI models that respond only to direct prompts, agentic AI systems are designed with a sense of 'agency': they can plan, execute multi-step tasks, interact with other systems, and learn from outcomes. These systems often combine reasoning, memory, and tool usage, enabling them to operate more like digital collaborators than passive tools.

CPD

Subscribers are reminded that they can complete monthly CPD quizzes and claim CPD hours before the 31 May deadline. View the CPD FAQs for more on accessing the CPD quizzes.

We use cookies to give you a personalised experience that suits your online behaviour on our websites. Otherwise, you may click here to learn more, or learn how to block or disable cookies. Disabling cookies might cause you to experience difficulties on our website as some functionality relies on cookie information. You can change your mind at any time by visiting “Cookie Preferences”. Any personal data about you will be used as described in our Privacy Policy.