Building privacy-preserving, AI-first software products

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...

Slides

Can be viewed here on Google Slides.

Pasted here for convenience!