The purpose of this document is to provide a practical guide to carrying out legitimate interests assessments (LIAs) in the context of processing data in ad tech, for digital advertising generally, and for RTB, in order to help companies understand their obligations, and how to comply with them in practice.
This document establishes guidelines for the encryption and use of user-provided IDs – notably email addresses and phone numbers – in scenarios when online publishers or marketers offer personalized content or services tied to a user-provided email or phone number.
This study reviews the main legal and regulatory challenges associated with online platform (OP) operations and analyses the incentives for OPs, their users and third parties to detect and remove illegal or harmful and dangerous material, content and/or products.
The purpose of this guidance is to assist elected representatives in having a strong awareness of their obligations and responsibilities as data controllers under the GDPR and the DPA 2018.
The DPC has produced guidance around the use of e-receipts to assist retailers adhere to best practice in relation to e-receipts and electronic direct marketing.
This guidance gives advice and information on the responsibilities of those who process personal data for electoral and canvassing activities.
This guidance gives advice and information to members of the public on their data protection rights when their personal data is being processed for electoral and canvassing activities.
This report, building on the basic pseudonymisation techniques, examines advanced solutions for more complex scenarios that can be based on […]
This document outlines how ICO will carry out data protection audits in organisations.
These Guidelines cover uses of facial recognition technologies, including live facial recognition
technologies and provide a set of reference measures entities using facial recognition technologies should follow.
ENISA’s study takes a methodological approach at mapping the key players and threats in AI.