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IAPP: The professional home for privacy, AI governance and digital responsibility globally.
- 38articles · 30d
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- Aug 17, 2026earliest in window
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- 276avg words
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News
A view from DC: What will all these AI auditors be auditing?
2+ day, 4+ hour ago (834+ words) With two new laws on the books, California is building a regulatory structure for AI auditors, even as audits remain entirely voluntary. There's an oft-quoted line from Milton Friedman: "Only a crisis — actual or perceived — produces real change. When that…...
China sets a judicial benchmark for AI disputes
2+ day, 19+ hour ago (815+ words) China's Supreme People's Court issued national guidance for AI-related disputes, outlining how courts should assess liability for AI harms while leaving unsettled questions around copyright and model training. Courts across jurisdictions have grappled with this question for years while Chinese…...
Notes from the Asia-Pacific region: AI ambitions, DPDPA compliance and new digital governance frameworks
2+ day, 19+ hour ago (417+ words) The IAPP is policy neutral. We publish contributed opinion pieces to enable our members to hear a broad spectrum of views in our domains. It is already September and the start of the festival season in India. As I pen…...
The CISO's new privacy mandate in enterprise AI governance
1+ week, 3+ day ago (620+ words) Enterprise AI is pushing CISOs into a broader privacy role, requiring security leaders to help turn privacy principles into enforceable controls across AI governance, vendor oversight and incident response. The IAPP is policy neutral. We publish contributed opinion pieces to…...
AI and consumer rights
2+ week, 4+ day ago (293+ words) While current U.S. state privacy laws give consumers certain rights over personal data and AI-driven decision-making, they generally do not provide a broad right to opt out of AI training. A few things are happening at once. Virtually every company is…...
The AI you didn't build: From black box to defensible risk
3+ week, 3+ day ago (203+ words) Most AI risk today isn't homegrown, it's embedded in the third-party software you already use. When privacy and risk teams can't inspect the model, "high risk" isn't a defensible answer. A practical framework is needed for discovering AI hidden in…...