AI transparency refers to the ability of an organisation to clearly explain how its artificial intelligence systems collect, process, and use personal data to make decisions. In the context of data privacy, AI transparency means users should understand when AI is being used to process their data, what data inputs are involved, how automated decisions are reached, and what the implications of those decisions are.
The EU AI Act and GDPR both establish requirements for transparency in automated decision-making, with the GDPR granting individuals the right not to be subject to solely automated decisions that significantly affect them.
Under Article 22 of the GDPR, data subjects have the right to meaningful information about the logic involved in automated processing. The EU AI Act introduces additional transparency obligations based on the risk level of the AI system. High-risk AI systems must provide detailed documentation, logging, and human oversight capabilities.
For websites using AI for personalisation, content recommendation, or consent optimisation, transparency means informing users that AI is involved and giving them the ability to understand and challenge automated decisions.
Seers.ai maintains transparency in its AI-driven cookie classification and consent management features by providing clear documentation of how automated systems categorise cookies and manage consent signals. The platform’s dashboard gives administrators full visibility into AI-driven decisions, including why specific cookies were classified in certain categories. This transparency supports GDPR compliance and helps build user trust in consent management processes.
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