Users often feel betrayed when they learn that artificial intelligence features have been using their personal data in ways they did not fully expect. Examples range from AI training on email content to voice assistants retaining information beyond explicit commands. Despite companies disclosing these practices, awareness among users remains limited, with default settings frequently favoring data sharing without clear consent.
This disconnect highlights a growing asymmetry: organizations understand the extensive uses and downstream impacts of the data they collect, while individuals struggle to grasp these complexities amid dense privacy policies and ever-changing updates. Many users willingly share data such as chat logs, location history, or browsing behavior to benefit from personalized services. However, behind the scenes, companies extract broad value—using data for training AI models, safety improvements, fraud prevention, and future product development.
Regulators have started addressing these challenges. The European Data Protection Board recently updated guidance emphasizing that AI models trained on personal data processed unlawfully must be treated carefully, affecting their lawful deployment. Likewise, the UK’s Information Commissioner’s Office urges organizations to clearly explain AI-driven processes and decision-making to those impacted.
Expecting users to decipher intricate data flows and technical privacy details is unrealistic. Most seek to use products effectively without wading through complex legalese or reversing engineered data ecosystems. Responsibility should therefore rest primarily with companies, who design these systems and hold the knowledge to simplify data handling and reduce opacity.
Meaningful transparency demands more than brief privacy notices. It requires context-specific, actionable information that allows users to understand how their data is used, identify who is responsible, and anticipate consequences. This principle is reflected in regulations like the General Data Protection Regulation and the proposed EU AI Act, which impose enhanced disclosure requirements and insist on transparency that users can grasp and respond to.
The EU AI Act introduces obligations to clearly inform individuals when they interact with AI or encounter AI-generated content, reinforcing the need for improved communication and transparency around artificial intelligence’s role in everyday technology.