The first stage in any exercise of this nature is to run an audit or healthcheck to identify and map the flows of data processed when interacting with AI technologies.  From there, it is possible to evaluate how AI is being used, its potential impact on data privacy, and identify any potential gaps in compliance.

In addition to monitoring updates to AI-related laws and regulations, we help you become and remain compliant, by considering and advising on a number of factors, including:

• Ethical guidelines: transparency, fairness, accountability
• Bias and Discrimination: monitoring for inadvertent algorthimic bias - for example during the personnel recruitment process
• Regular Audits: including vendors used, to identify and mitigate risks of privacy violations
• Training and Awareness: ongoing training for employees on AI compliance, confidentiality, ethical use and transparency
• Lawful basis: as with all personal data processing, you must have a lawful basis for processing the data 
• Transparency: Analysing your privacy notices and other statements to ensure indivfiduals are notified when they interact with AI
• Data Minimisation: ensure that only necessary and relevant personal information is processed when interacting with AI
• Privacy by Design: Determining when the use of AI technology requires a DPIA to identify risks and determine risk mitigations
• Subject Rights: ensuring that data subject rights continue to be met for all  AI-related processing
• Security:  ensuring that robust security measures are in place
• Policies & Procedures:  development, training, enforcement of policies for data governance in relation to AI-related processes