Privacy concerns didn’t appear overnight—they’ve been building quietly alongside the technologies we rely on every day. Lou and Robert Stribley, author of Design for Privacy, explore how digital tracking, AI, and data sharing have reshaped the way personal information moves through the modern web.

Robert traces the growing privacy challenge from early internet tracking to today’s complex ecosystem of smartphones, online services, and AI systems. While many users understand that they’re trading data for convenience, few grasp how widely their information is distributed—or how easily supposedly anonymous data can be re-identified. As AI accelerates the ability to combine and analyze datasets, those risks are growing quickly.

Then the conversation turns to what designers can do about it. Robert outlines practical ways UX professionals can improve privacy outcomes, from collecting less data and avoiding deceptive patterns to improving language transparency and giving users meaningful control over their information. Despite the scale of the problem, Robert argues that designers have more agency and influence than they realize. Thoughtful design decisions can help protect users while also strengthening trust and long-term business success.

Rosenfeld Review Podcast

The Rosenfeld Review Podcast (Rosenfeld Media)

Designing for Privacy in a Surveillance Age with Robert Stribley

APR 21, 202635 MIN
Rosenfeld Review Podcast

Designing for Privacy in a Surveillance Age with Robert Stribley

APR 21, 202635 MIN

Description

Privacy concerns didn’t appear overnight—they’ve been building quietly alongside the technologies we rely on every day. Lou and Robert Stribley, author of Design for Privacy, explore how digital tracking, AI, and data sharing have reshaped the way personal information moves through the modern web. Robert traces the growing privacy challenge from early internet tracking to today’s complex ecosystem of smartphones, online services, and AI systems. While many users understand that they’re trading data for convenience, few grasp how widely their information is distributed—or how easily supposedly anonymous data can be re-identified. As AI accelerates the ability to combine and analyze datasets, those risks are growing quickly. Then the conversation turns to what designers can do about it. Robert outlines practical ways UX professionals can improve privacy outcomes, from collecting less data and avoiding deceptive patterns to improving language transparency and giving users meaningful control over their information. Despite the scale of the problem, Robert argues that designers have more agency and influence than they realize. Thoughtful design decisions can help protect users while also strengthening trust and long-term business success.   What You'll Learn from this Episode: Why privacy concerns have intensified with smartphones, AI, and online tracking How “anonymous” data can often be re-identified through data aggregation Why users have conflicting attitudes about personalization and data tracking The role UX designers can play in improving privacy protections How deceptive design patterns (including cookie banners) manipulate user consent Why clearer language and better privacy tools can give users meaningful control over their data Quick Reference Guide: 0:15 - Meet Robert, Lou’s neighbor 1:51 - How Robert got into the privacy field 5:06 - Perceptions of privacy and the concessions we make 8:01 - Terms of Service - we accept them blindly - and why that can be risky 15:54 - 5 Reasons to use the Rosenverse 18:39 - What designers can do about data privacy 28:08 - Privacy tools and potential tools for users 32:38 - Robert’s gift for listeners Resources and Links from Today's Episode: Design for Privacy: Keeping Personal Information Private by Robert Stribley https://rosenfeldmedia.com/books/design-for-privacy/ Block Party app https://www.blockpartyapp.com/ 404 Media https://www.404media.co/ The Capture https://www.imdb.com/title/tt8201186/   Quotes: “We have created these patterns that make it very easy to get involved with those experiences, all the while you're surrendering your data.”  “I don't think most people understand the degree to which that information is spread around and with whom it's spread around.” “Whenever you are utilizing people’s data, really think about what you’re doing with it and be able to justify it.”  “When you understand deceptive patterns as manipulative, you can’t stop seeing them everywhere.”