AI compliance

Embrace AI and develop privacy confidence with our AI compliance guidance

As organisations increasingly adopt AI to improve productivity, efficiency and decision-making, the risk of data protection non-compliance also increases. With AI systems relying on vast quantities of personal data to make them work correctly, legislative scrutiny around how personal data is collected, processed, and protected when using AI is intensifying. For organisations deploying or developing AI technologies, navigating evolving AI legislation is critical to avoid penalties.

Navigating AI regulation and governance

The EU AI Act, GDPR and specific global AI legislation align with established data protection principles, such as transparency, accountability and fairness, increasing responsibilities and workloads for privacy professionals. Understanding and staying up to date with the established and emerging AI laws can be challenging.

Our expert data protection team provides comprehensive AI compliance support to mitigate the risk of non-compliance and encourage responsible use of AI to build trust with individuals. 

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How we help your AI compliance journey

AI compliance in practice

To meet the team and find out more about our sector specialisms

Why choose HelloDPO?

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AI expertise

Our team are experienced qualified data protection lawyers and practitioners who will interpret and advise on meeting regulatory requirements. At the forefront of emerging legislation, our advice is always up to date and practical.

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Comprehensive support and advice

Our AI compliance services cover all AI matters for your journey to and maintaining compliance. We can support at any stage, with a proactive approach and clear advice.

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Varied sector experience

With a wide range of sector experience including financial services, hospitality, retail, tech, automotive and more we’ll bring this wealth of knowledge to guide you in the fast-paced and emerging AI data protection landscape.

FAQs

What are the GDPR rules for AI?

There are four GDPR principles that align to AI these being:
1. Transparency: Regardless of whether the AI solution is developed for bespoke deployment or is an off-the shelf system, as a controller of the AI tool you have primary responsibility for ensuring that an appropriate explanation is available to the individuals using the AI solution.
2. Fairness: You must take into account the overall impact the AI processing will have on the individual. The use of AI systems can lead to biased and discriminatory actions, especially if they are being used to make predictions or decisions about individuals.
3. Lawfulness: You must have a lawful basis to use the personal data. This will apply if you are using the personal data to train a new AI system or are making predictions using an existing system. There may be a number of lawful bases that will need to be considered so choose the most appropriate one and document your decision and the processing in your privacy notices and record of processing.
4. Purpose limitation: You must only use personal data for a specified, explicit and legitimate purpose. When AI uses personal data you must ensure that you are not now using personal data for a new purpose. If you are, you need to ensure you have a legal basis and you have informed individuals about the processing. You should consider the whole AI lifecycle broadly and be specific about the purpose for each stage; data collection training and deployment.

Our experience...

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Learners who complete our data protection training each year