Building privacy-preserving, AI-first software products
Published by Nathan Benaich. This talk was recorded for the OpenMined Privacy Conference 2020.
Abstract
In this talk, I explore whether privacy the next chapter for AI-first startups? To do so, I consider:
Two paradigms for machine learning in industry: Centralization and decentralization and their implications,
Reasons to build a privacy-preserving software product?
Why might you be right to choose privacy-by-design?
Why might privacy-by-design be too early?
What’s are startups tackling today?
And one crucial reminder...