Automated decisions that may have a legal

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project has the potential to pose significant privacy risks.If such risks are identified, then a full DPIA must be completed. At this pointdetailed analysis of the project takes place, including consultation with keystakeholders. Such an approach allows for a recalibration of a project if theprivacy risks are too high, or the adoption of mitigating actions to reduce therisk level. Examples for marketers might include the introduction of a newfirst-party data strategy or the introduction of a CRM platform. It is

generally considered best practice that any new marketingtools that may utilise personal Brazil Telemarketing Data data should be subjected to a DPIA. AI and DataPrivacy Artificial Intelligence (AI) platforms are becoming increasinglypopular with marketers, powering activities such as automated website chatbots.The introduction of ChatGPT and other large language models (LLMs) providessignificant potential for marketers to increase their productivity. Forexample, generating blogs and articles as part of a content marketing

strategy. Marketers considering such technology must beaware of the data protection risks. Transparency is a key principleunderpinning the GDPR. Marketers using AI tools that process personal data mustbe able to explain in clear and simple terms how this data is being used. Thisis a considerable challenge as it is not often easy to identify exactly howdata is being processed by AI technology. In addition, Article 22 of GDPR givesindividuals the right to object to