Operationalizing privacy in the age of AI
Update: 2024-09-18
Description
Data privacy - why is it so important in the age of AI, why is it so difficult, and what should we be doing to improve it in our organizations?
In this episode we speak with Dr. Rebecca Balebako, privacy engineer and Chief Privacy Officer at Lotic.ai, about why AI makes privacy more important than ever, the common misconceptions around data protection, who should own privacy, and the benefits and limitations of privacy enhancing technologies (PETs).
Join us as we discuss:
For more on Rebecca’s consulting on privacy strategy, coaching and how to build a privacy advocate team see https://www.privacyengineer.ch/ and for more on privacy methods check out the book “Practical Data Privacy” by Katharine Jarmul.
In this episode we speak with Dr. Rebecca Balebako, privacy engineer and Chief Privacy Officer at Lotic.ai, about why AI makes privacy more important than ever, the common misconceptions around data protection, who should own privacy, and the benefits and limitations of privacy enhancing technologies (PETs).
Join us as we discuss:
- The value of privacy (~5% of annual profit)
- The many definitions of privacy.
- The top 3 misconceptions: no one cares, it can be fixed with a privacy policy, and privacy is a blocker.
- Who should own privacy in your organization.
- PETs vs. data hygiene
For more on Rebecca’s consulting on privacy strategy, coaching and how to build a privacy advocate team see https://www.privacyengineer.ch/ and for more on privacy methods check out the book “Practical Data Privacy” by Katharine Jarmul.
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