Practical Data Privacy - Katharine Jarmul

We talked about:

• Katharine's background
• Katharine's ML privacy startup
• GDPR, CCPA, and the “opt-in as the default” approach
• What is data privacy?
• Finding Katharine's book – Practical Data Privacy
• The various definitions of data privacy and “user profiles”
• Privacy engineering and privacy-enhancing technologies
• Why data privacy is important
• What is differential privacy?
• The importance of keeping privacy in mind when designing systems
• Data privacy on the example of ChatGPT
• Katharine's resource suggestions for learning about data privacy

Links:

• LinkedIn: https://www.linkedin.com/in/katharinejarmul/

• Twitter: https://twitter.com/kjam

Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html