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...

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