AI Builders Global Conference 2026. October 14-16, 2026. Online.
Data Privacy, Consent & AI: GDPR, CCPA & Beyond
This description belongs to the 2026 topic catalog. The 2027 program is being prepared separately.
How do you train models responsibly while respecting data privacy? This panel covers the cutting-edge techniques enabling privacy-preserving AI: synthetic data generation, federated learning, differential privacy, consent management frameworks, and the regulatory patchwork across EU, U.S., and APAC jurisdictions. Includes practical guidance on building a "common governance layer" for global AI operations.
Questions explored in the 2026 topic catalog
- How effective is synthetic data for training production AI models?
- What are the practical implementation challenges of federated learning?
- How do you implement differential privacy in ML pipelines?
- What consent management frameworks work for AI training data?
- How do you navigate conflicting privacy regulations across regions?
- What does a unified global privacy governance framework look like?
Who this topic is for
Privacy engineers, DPOs, legal counsel, ML engineers working with sensitive data, and compliance officers at organizations operating across multiple jurisdictions.
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