Unraveling the Mysteries of Privacy Engineering

Episode No: 78

In this insightful podcast with Apoorvaa Deshpande, we explore the fundamental concepts of privacy by design and privacy engineering, the tools and techniques used to implement privacy-enhancing technologies (PETs), and the challenges and opportunities in this field. Discover how to balance user experience with privacy, the risks of building AI-powered features, and the future of privacy engineering.

Apoorvaa is currently a Senior Privacy Engineer at Google Cloud, working on privacy design, privacy-enhancing technologies (PETs), and data governance for AI.
Privacy engineering

You can read the complete transcript of the epiosde here >

Learnings from the podcast

  1. Privacy Engineering focuses on implementing privacy best practices for users & organizations using different PETs. The core focus is user’s privacy. Finding the balance between experience and fatigue is key for users.
  2. Privacy by design enables teams to incorporate privacy engineering practices to each steps of SDLC. Ensuring less rework, better prioritization and to avoid hard conversations with other teams. Communication plays a major role in this entire process.
  3. For GenAI LLM data privacy, there are some promising technologies like synthetic data generation, machine unlearning. But, for today, some of key practices are data sanitization, picking the right dataset, lineage, using PETs.

Learning resources recommended by Apoorvaa Deshpande

  1. Big Think by Adam Grant

    Adam Grant is a #1 New York Times bestselling author, one of TED's most popular speakers, and Wharton’s top-rated professor for seven straight years.

    Checkout Big Think Podcast on YouTube >

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