AI’s Best Friend: How PETs Enable Data Use and Operationalize Privacy by Design

As AI systems — especially generative AI — continue to grow, so do concerns about how they collect and process personal data. Privacy-enhancing technologies offer practical tools to embed privacy by design and by default into AI development, while also enabling responsible data sharing across organizations and sectors to support AI innovation. In this panel, experts will examine how PETs like federated learning, differential privacy, and homomorphic encryption can both strengthen privacy protections and unlock the full potential of AI.

What you will learn:

• How PETs are being used in practice to enhance privacy and accelerate AI adoption.
• Common implementation challenges and strategies to navigate evolving regulatory and ethical frameworks.
• Actionable steps for fostering the broader adoption of PETs and building a more secure, trustworthy AI ecosystem.