
19. How to implement data privacy? A conversation with Klaudius Kalcher, cofounder and chief data scientist of MOSTLY AI
Data Democratization Podcast: Stories about AI, Data, and Privacy
00:00
Synthetic Data and Differential Privacy
Gegia: We try to measure what the maximum influence is that any one individual could have on the training of the synthetic ate generative model. I think this reallysi is a promising approach, and really helps to produce something where practitioners can have certainty that this is privacy safe and freely shared. Gegia: For me, i would in vision in h future be being able to collaborate more on open data sources. And having all those smart brains around the world have easy access to high quality data will be where i see sintertat in the upcoming years.
Transcript
Play full episode