Enterprise-Scale Privacy for AI: How Canva Scaled Customer Control of Data for AI...
summary
Canva describes an end-to-end consent platform that separates content and usage toggles, runs behind the data access layer, and enforces ~1,000 jurisdiction and product rules across ~200 million users. The service stores about 14 billion preferences, supports ~16 training toggles, exchanges 9 million messages per day, and performs 30,000 checks per second before data collection; syncing to the warehouse adds an hour‑to‑day delay and rule changes deploy in roughly one hour of engineering time.
AI-written summary · about
chapters (8)
- 0:00Privacy and AI at Canva
- 1:13Diverse data for AI tools
- 2:16User consent design
- 4:03Testing user controls
- 7:19Scaling consent enforcement
- 9:26Privacy preference service
- 12:13Consent in AI ecosystem
- 14:17Key takeaways
related talks
44mNavigating privacy and compliance while securing gen AI applications
20mSecuring generative AI: Privacy and compliance considerations
28mWhy Private AI Matters: Data Sovereignty as the Foundation for Trustworthy AI on the Open Web
33mMachine Learning in the age of increasing Data Privacy Consciousness
47mData Security Considerations for AI Adoption
47mBuilding Trust In The AI Era
30mAddressing the Privacy Paradox – Setting Consent & Preference Management Into Practice
15mEnvisioning and Mitigating Privacy Risks for Consumer-Facing AI Product Concepts...
