Compliance Strategy for AI under GDPR: Phases of Implementation - Episode 4: Implementation Execution
In the dynamic world of artificial intelligence (AI), compliance with the European Union's General Data Protection Regulation (GDPR) and the forthcoming Artificial Intelligence Act (AI Act) is essential for businesses. This article focuses on the deployment phase of the AI development life cycle, a crucial stage that ensures AI systems remain aligned with GDPR's principles of data protection by design and default.
AI systems, operating with varying levels of autonomy, infer from input to generate outputs that can significantly impact physical or virtual environments. To prevent potential threats, it is imperative to understand how the model is being used or misused and align that usage with established assessment frameworks.
Data protection by design is a key aspect of GDPR compliance throughout the AI development life cycle. In the deployment phase, AI systems must incorporate mechanisms for continuous monitoring, audit trails, and impact assessments (Data Protection Impact Assessments - DPIAs) to assess evolving risks and ensure ongoing compliance with GDPR requirements like transparency, fairness, and data subject rights. Detailed documentation of data processing activities and system decisions is crucial to maintain accountability and facilitate regulatory reviews.
Ongoing processes necessary to maintain GDPR compliance in AI systems include regular updating and re-evaluation of DPIAs as AI models evolve, continuous monitoring of data access, usage, retention, and security controls, maintaining audit trails from the earliest design stages to support investigations and compliance checks, training staff across technical, legal, and operational teams on GDPR principles applied to AI, and providing mechanisms for human review and appeal in cases of automated decisions.
Individuals' rights, such as access to personal data, portability, object, rectification, erasure, restriction, and object, are applicable throughout the entire life cycle of an AI system. Continuous monitoring of AI models and systems is essential for maintaining strong performance and GDPR compliance.
It is also essential to have processes in place to notify relevant authorities of security breaches without undue delay, and where feasible, no later than 72 hours after becoming aware of the breach. If the breach is likely to result in a risk to the rights and freedoms of the individuals concerned, the breach must also be communicated to the individuals concerned without undue delay.
The AI development life cycle consists of four distinct phases: planning, design, development, and deployment. Ensuring appropriate processes is crucial for GDPR compliance, particularly concerning individuals' rights and notification of security breaches.
AI models are components of AI systems that drive their functionality, requiring additional components to become AI systems. Given the key role data plays in AI functioning effectively, GDPR compliance is of paramount importance. By adhering to these principles, businesses can strike a balance between innovation and individual privacy rights, ensuring legal compliance and fostering trust in their AI systems.
References:
[1] European Commission. (2018). Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).
[2] European Commission. (2021). Proposal for a Regulation of the European Parliament and of the Council on Artificial Intelligence (Artificial Intelligence Act).
[3] European Data Protection Board. (2021). Guidelines 03/2021 on the concept of a data subject's right to an explanation.
[4] European Data Protection Board. (2020). Guidelines 07/2020 on measures to ensure transparency and the exercise of the data subject's rights under Regulation 2016/679.
[5] European Data Protection Board. (2021). Recommendations on the use of AI in law enforcement.
Technology plays a significant role in the deployment phase of AI, as AI systems must incorporate mechanisms such as continuous monitoring, audit trails, and impact assessments (DPIAs) to align with GDPR regulations. Compliance with the cybersecurity law, the General Data Protection Regulation (GDPR), is crucial for AI systems in the European Union, especially during the deployment phase to ensure ongoing compliance with GDPR requirements like transparency, fairness, and data subject rights.
