OECD Explores AI, Data Governance, and Privacy Synergies

The OECD’s report, “AI, Data Governance, and Privacy: Synergies and Areas of International Co-operation,” published on 25 June 2024, addresses the growing intersection of artificial intelligence (AI) and privacy. The document highlights the necessity of collaboration between AI and privacy policy communities to tackle the challenges brought about by generative AI.

Key Findings and Recommendations

• International Co-operation: The report underscores the need for global collaboration to address AI and privacy issues. Aligning the OECD Privacy Guidelines with AI Principles is essential for this effort.
• Generative AI as a Catalyst: Generative AI’s rise has accelerated the need for collaboration between AI and privacy sectors. The section “Generative AI: a catalyst for collaboration on AI and privacy” provides an insightful overview of the latest developments in Privacy Enhancing Technologies (PETs) and AI.
• Machine Unlearning: This emerging field allows individuals to control their personal data even after sharing. Recent research suggests it may be possible to infer whether an individual’s data was used to train a model, even if deleted from a database.
• Policy Synergies: The report identifies commonalities and divergences between AI and privacy principles, emphasizing the importance of coordinated policy responses.
• Legal Frameworks: The application of traditional legal frameworks, such as “legitimate interests,” to AI practices is complex. The report states that the legal basis known as “legitimate interests” is considered suitable for generative AI but requires careful balancing of interests and rights.
• Mapping Principles: The report maps existing OECD principles on privacy and AI, identifying key policy considerations.
• National and Regional Developments: It provides an overview of national and regional initiatives on AI and privacy, highlighting the role of Privacy Enforcement Authorities and their guidance on AI-related privacy issues.

Moving Forward

To foster effective co-operation, the report advocates for:

• Standardizing Terminology: Ensuring a common understanding of key terms across AI and privacy communities.
• Enhancing Regulatory Frameworks: Updating privacy guidelines to address AI-specific challenges.
• Promoting Innovation: Encouraging the development and adoption of PETs to safeguard privacy while leveraging AI’s potential.

👉 Get it here.