AI and Data Privacy
Posted: Sun Dec 22, 2024 8:51 am
This involves a two-step process. First, a pre-DPIA is undertaken, whereby a series of high-level questions are asked to assess if the project has the potential to pose significant privacy risks. If such risks are identified, then a full DPIA must be completed. At this point detailed analysis of the project takes place, including consultation with key stakeholders. Such an a email marketing lists australia pproach allows for a recalibration of a project if the privacy risks are too high, or the adoption of mitigating actions to reduce the risk level.
Examples for marketers might include the introduction of a new first-party data strategy or the introduction of a CRM platform. It is generally considered best practice that any new marketing tools that may utilise personal data should be subjected to a DPIA.
Artificial Intelligence (AI) platforms are becoming increasingly popular with marketers, powering activities such as automated website chatbots. The introduction of ChatGPT and other large language models (LLMs) provides significant potential for marketers to increase their productivity. For example, generating blogs and articles as part of a content marketing strategy.
Marketer
s considering such technology must be aware of the data protection risks. Transparency is a key principle underpinning the GDPR. Marketers using AI tools that process personal data must be able to explain in clear and simple terms how this data is being used. This is a considerable challenge as it is not often easy to identify exactly how data is being processed by AI technology.
In addition, Article 22 of GDPR gives individuals the right to object to automated decisions that may have a legal effect. For example, ‘automatic refusal of an online credit application or e-recruiting practices without any human intervention. In these instances, they have the right to obtain human intervention as part of the decision-making process.
Examples for marketers might include the introduction of a new first-party data strategy or the introduction of a CRM platform. It is generally considered best practice that any new marketing tools that may utilise personal data should be subjected to a DPIA.
Artificial Intelligence (AI) platforms are becoming increasingly popular with marketers, powering activities such as automated website chatbots. The introduction of ChatGPT and other large language models (LLMs) provides significant potential for marketers to increase their productivity. For example, generating blogs and articles as part of a content marketing strategy.
Marketer
s considering such technology must be aware of the data protection risks. Transparency is a key principle underpinning the GDPR. Marketers using AI tools that process personal data must be able to explain in clear and simple terms how this data is being used. This is a considerable challenge as it is not often easy to identify exactly how data is being processed by AI technology.
In addition, Article 22 of GDPR gives individuals the right to object to automated decisions that may have a legal effect. For example, ‘automatic refusal of an online credit application or e-recruiting practices without any human intervention. In these instances, they have the right to obtain human intervention as part of the decision-making process.