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EPISODE · Sep 18, 2024 · 42 MIN

Operationalizing privacy in the age of AI

from Data Science Leaders

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: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 hygieneFor 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.

Episode metadata supplied by the publisher feed · Published Sep 18, 2024

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Operationalizing privacy in the age of AI

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