Enterprise Scale Privacy for AI
Ask the Expert ft. Phillip Ward
Synopsis:
Canva’s mission is to empower the world to design. A major challenge to that mission is responsibly building the AI-powered tools that designers want. This is not just the newest and fanciest generative-AI tools. Single task tools, like background removers and stock media library search require data that represents our user community in order to perform at the level our users expect.
To create the best experience for users, this data must be as unique and diverse as our community. However, no one can do their best creative work if they do not feel safe and empowered. We want our users to experience high-quality protection for their personal information and personal creations, so every use of their content must be carefully considered.
In this discussion, I will share our journey building an in-house AI consent platform. I will share how to build an end-to-end ecosystem to simultaneously empower users to control their data and power the next generation of AI tools. This ecosystem spans from the user experience of controlling preferences, to the controls and platforms that ensure our 100+ models respect user decisions every day.
Problem Statement:
We are ensuring our teams can build and improve AI models safely and responsibly. Scaling compliance for hundreds of millions of customers, and hundreds of engineers, is difficult. When success depends on all those individuals being privacy experts, gaps are inevitable. The goal of this work was to empower both users and staff with simple, informative, and sustainable interfaces and systems. We examined each step in this process and determined the failure modes. We made intensive efforts to design, test, and re-design each component to ensure it was scalable, maintainable, and robust. The end result was a system that allows us to automatically deploy policy changes, observe compliance, and prevent non-compliance. In this talk, I will share the many of the real-world problems of privacy in practice that we tackled in this program of work, how we overcame them, and the lessons that we learnt.
Related Privacy Enhancing Technologies (PETs):
Do we need AI PETs?
Pre-Discussion Resources:
More Coming Soon
Speaker: Phillip Ward
Subgroup Lead, Privacy Engineering at Canva. Engineering systems to meet human expectations of privacy
Moderator: Ralph O'Brien
After two and a half decades of work at the forefront of the privacy sector, I have built my career around making the intricacies of Privacy & Security risk management understandable. I enjoy passing on my passion for privacy by translating often complicated legal concepts, into sustainable business processes taking a design approach that add value, rather than compliance costs.
You’ll receive the services of an experienced consultant, speaker, trainer, auditor, negotiator and project manager. I use my knowledge of data protection laws and information governance standards to help businesses develop and grow, engage their stakeholders, and to deliver real value to my clients, that can also protect individual rights.