A Teacher’s PET: Make Privacy-Enhancing Technology Work for Your AI

Stefano Braghin, Senior Research Engineer, IBM Research

Lauren Cuyvers, CIPP/E, Senior Managing Associate Data Privacy and Cybersecurity, Sidley Austin

Prokopios Drogkaris, CIPP/E, Cybersecurity Expert, Deputy Data Protection Officer, EU Agency for Cybersecurity (ENISA)

Monika Tomczak-Górlikowska, AIGP, CIPP/E, CIPT, Group Head of Privacy, Digital and Regulatory, Prosus and Nasper

This panel will delve into the role of privacy-enhancing technologies in AI system deployment, training and development. 

We will discuss strategies for deploying PETs, such as data protection toolkits, transparent model management and privacy-enhancing techniques like synthetic data fabrication and differential privacy. We will explain how PETs can allow for more extensive data processing, through limiting the use of personal and non-pseudonymized data, all with a view to ensuring more effective and secure AI training, development and deployment. The panel will showcase how PETs reduce personal data usage, increase data security and empower developers to embed privacy-by-design into AI models and solutions, thereby enhancing AI security and trust, and limiting potential increased regulatory scrutiny down the line. It will also discuss the place of PETs within a broader governance framework, taking into account emerging best practices in AI safety, ethics and responsible innovation. Delegates will receive practical insights and real-world examples for building secure and responsible AI.

What you will learn:

• How to incorporate PETs into responsible AI governance frameworks. 
• Effective deployment strategies for PETs within a governance program. 
• Emerging best practices in AI safety, ethics and responsible innovation.