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Unlock the secrets of privacy innovation and assurance with our enlightening conversation featuring Aaron Weller from HP. Aaron walks us through his fascinating journey of establishing a new privacy engineering function at HP and expanding into privacy assurance. You'll discover how his team is tackling significant challenges, such as developing standards for data aggregation and preventing re-identification attacks, with practical examples like employee surveys and website performance metrics.
What happens when the need for privacy intersects with the rapid advancements in AI? We delve into this critical topic by examining the dual threats of data re-identification and evolving AI legislation. Aaron provides invaluable insights into the ethical principles and security measures necessary to navigate this complex landscape. Additionally, we give you a sneak peek into an intriguing upcoming panel on AI governance featuring a humanoid AI, highlighting the unpredictable and exciting future potential of this groundbreaking technology.
Looking to the horizon, we explore the future predictions in data governance and the revolutionary impact of quantum computing on cryptography. Aaron discusses the strategic rethinking required as AI and technology advance, emphasizing the importance of integrating privacy measures directly into the code. Join us as we reimagine our relationship with data, ponder the necessity for solid foundational frameworks, and highlight the critical role of early detection in privacy issues. This episode is a must-listen for anyone invested in the future of data management and privacy.
Listen on: Apple Podcasts Spotify
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By Cameron Ivey4.7
2929 ratings
Send us a text
Unlock the secrets of privacy innovation and assurance with our enlightening conversation featuring Aaron Weller from HP. Aaron walks us through his fascinating journey of establishing a new privacy engineering function at HP and expanding into privacy assurance. You'll discover how his team is tackling significant challenges, such as developing standards for data aggregation and preventing re-identification attacks, with practical examples like employee surveys and website performance metrics.
What happens when the need for privacy intersects with the rapid advancements in AI? We delve into this critical topic by examining the dual threats of data re-identification and evolving AI legislation. Aaron provides invaluable insights into the ethical principles and security measures necessary to navigate this complex landscape. Additionally, we give you a sneak peek into an intriguing upcoming panel on AI governance featuring a humanoid AI, highlighting the unpredictable and exciting future potential of this groundbreaking technology.
Looking to the horizon, we explore the future predictions in data governance and the revolutionary impact of quantum computing on cryptography. Aaron discusses the strategic rethinking required as AI and technology advance, emphasizing the importance of integrating privacy measures directly into the code. Join us as we reimagine our relationship with data, ponder the necessity for solid foundational frameworks, and highlight the critical role of early detection in privacy issues. This episode is a must-listen for anyone invested in the future of data management and privacy.
Listen on: Apple Podcasts Spotify
Support the show

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