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Kate Klonick

2episodes
2podcasts

We have 2 summarized appearances for Kate Klonick so far. Browse all podcasts to discover more episodes.

Featured On 2 Podcasts

All Appearances

2 episodes
The Vergecast

The case for banning cookie banners

The Vergecast
78 minProfessor and Author

AI Summary

→ WHAT IT COVERS The Vergecast covers two technology topics: Saint John's professor Kate Klonick argues cookie consent banners should be eliminated entirely rather than reformed, and Verge senior reviewer Allison Johnson tests Google Maps' Ask Maps feature, which uses Gemini AI to plan real-world itineraries based on user-specified criteria like transit routes, weather, and time constraints. → KEY INSIGHTS - **Cookie Banner Origins:** The EU's e-Privacy Directive never mandated pop-up banners — the regulation only required users receive the right to refuse data processing. Industry lawyers and lobbyists collectively interpreted compliance as banner pop-ups to avoid fines, creating a de facto standard that calcified over 15-25 years without regulatory challenge or meaningful user protection. - **Manufactured Consent Problem:** Cookie banners create a false sense of regulatory accountability on both sides. Regulators point to banners as proof privacy is addressed; companies point to user clicks as proof of consent. Neither outcome protects users, since the underlying ad-tracking technology has long since evolved beyond cookies into methods banners never address or restrict. - **The Case for Zero Banners:** Klonick argues users are better off with no cookie banners than the current system. Eliminating banners removes the regulatory detente that blocks innovation, forcing genuine legislative conversation about modern tracking harms. The compliance infrastructure companies built around banners costs them little now, giving them zero incentive to pursue better privacy solutions. - **Brussels Effect and Regulatory Capture:** When one large market regulates technology design, transnational companies adopt that standard globally because maintaining separate systems is too costly — the same dynamic as California's car emissions standards reshaping all US vehicles. This means EU cookie law effectively governs American users, while US tech companies unilaterally dictate product design for European users. - **Ask Maps Practical Use Case:** Google Maps' Ask Maps feature processes natural language requests combining multiple criteria simultaneously — transit availability, weather conditions, time constraints, and location type — returning a sequenced itinerary with departure times. Standard Maps search requires manual filter stacking; Ask Maps collapses that into a single conversational query, reducing planning time for multi-stop outings. - **AI Personalization Ceiling:** Ask Maps currently underperforms on personalization by recommending places users have already visited, failing to cross-reference location history Google Maps already stores. The feature handles fuzzy conceptual searches well — finding laptop-friendly cafes open past 4PM — but requires explicit prompting to exclude known locations, revealing a gap between available user data and active recommendation logic. → NOTABLE MOMENT Klonick reveals that cookie banners have become counterproductive precisely because they work as a compliance shield — companies spent two decades perfecting a system that satisfies regulators while barely restricting tracking. That sunk investment means no one in industry wants reform, making the banners' existence actively prevent better privacy solutions from emerging. 💼 SPONSORS [{"name": "MongoDB", "url": "https://mongodb.com/build"}, {"name": "Shopify", "url": "https://shopify.com/vergecast"}, {"name": "Upwork", "url": "https://upwork.com"}, {"name": "Framer", "url": "https://framer.com/verge"}] 🏷️ Cookie Consent Regulation, EU Privacy Law, Google Maps AI, Ad Tracking Technology, Digital Privacy Policy, Gemini Integration

Radiolab

Content Warning

Radiolab
29 minProfessor at Saint John's Law School

AI Summary

→ WHAT IT COVERS RadioLab examines how social media content moderation shifted from Facebook's reactive takedown approach to TikTok's proactive algorithmic control model, and how platform owners now wield unprecedented power over public discourse and political influence. → KEY INSIGHTS - **TikTok's censorship model:** TikTok prescreens content and pushes up apolitical, milquetoast material rather than reactively removing posts, creating prior restraint where users never know what they missed—the ultimate form of censorship under First Amendment law. - **Platform migration strategy:** American social media platforms adopted TikTok's approach after 2020 because proactive algorithmic control is cheaper than employing hundreds of call center moderators for reactive content review, fundamentally changing the information ecosystem users experience. - **Platform islands replace filter bubbles:** Users now self-select platforms based on expected content rather than algorithms creating bubbles within platforms. Each platform owner controls what gets amplified, turning social media from public squares into camouflaged broadcast networks with editorial control. - **Content moderation as political power:** Platform owners discovered content moderation equals mind control at scale—shadow banning, algorithmic promotion, and feed manipulation can shape presidencies and political movements, making it as valuable as traditional power resources like oil. → NOTABLE MOMENT Kate Klonick proposes a dystopian thought experiment: a perfect piece of art that facial-scans viewers, pulls their internet data, and generates personalized images to evoke specific emotions on command—essentially describing what social media algorithms already accomplish. 💼 SPONSORS [{"name": "AT&T", "url": null}, {"name": "National Forest Foundation", "url": "nationalforests.org"}, {"name": "OMGES", "url": "omgs.com"}] 🏷️ Content Moderation, Social Media Regulation, TikTok Algorithm, Platform Censorship

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