Source: WilmerHale Privacy and Cybersecurity Law Blog 

In the fourth installment of their series on AI and the GDPR, the WilmerHale Privacy and Cybersecurity Law Blog focuses on the critical deployment phase, offering a "road map to compliance by design." The article outlines the essential steps organizations must take when an AI system transitions from a developmental environment to a live, operational setting where it processes personal data. This phase is fraught with compliance challenges, as the theoretical protections designed earlier must now function effectively in practice. 

The authors emphasize several key GDPR principles that become paramount during deployment. These include ensuring ongoing transparency with data subjects, implementing robust data subject rights request mechanisms (like access and erasure), and establishing continuous monitoring to detect and mitigate any new biases or inaccuracies that may emerge. The post also stresses the importance of having clear governance structures and accountability measures in place, ensuring that there is human oversight and the ability to intervene if the AI system produces unintended or harmful outcomes. It serves as a practical guide for organizations seeking to operationalize AI responsibly within the EU's stringent data protection framework.