The IAPP is a policy neutral, not-for-profit association founded in 2000 with a mission to define, promote and improve the professions of privacy, AI governance and digital responsibility globally.

While attending the IAPP U.K. Intensive 2026 in London, IAPP Editorial Director Jedidiah Bracy sat down with Hogan Lovells Partner Charmian Aw to discuss for this podcast the latest developments in ...

Editor's note: The IAPP is policy neutral. We publish contributed opinion pieces to enable our members to hear a broad spectrum of views in our domains. Artificial intelligence has been a ...

A growing number of U.S. legal initiatives now treat personal data as a “dual-use” technology—an asset that can be exploited not only for commercial purposes but also for intelligence and national ...

In enterprises environments, the biggest automation and AI risk is not “AI hype.” It is unmonitored Python running across endpoints and teams, quietly touching company data through internal APIs, ...

New artificial intelligence tools, including virtual personal and voice assistants, chatbots, and large language models like OpenAI's ChatGPT, Meta's Llama 2, and Google's Bard and Gemini rare ...

Beware of the cookie! Accept all cookies. Functional or necessary cookies? Toggle analytics cookies. Death of the third-party cookie. Privacy professionals have been ...

These templates were published to assist privacy professionals in conducting TIAs. The IAPP does not endorse any specific template. We welcome additional templates that can be shared with the privacy ...

Take part in this year’s IAPP Governance Survey to share your experience and receive actionable insights you can use in your day-to-day role. This year’s survey looks at privacy governance, compliance ...

Throughout the GDPR, organizations that control the processing of personal data are encouraged to implement protective measures corresponding to the level of risk of their data processing activities.

A view from DC: Can there be accountability for web scrapers? High-quality, diverse and extensive datasets are fundamental for improving machine learning model performance, and web scraping helps ...

On 27 April, Gov. Jay Inslee, D.-Wash, signed the My Health My Data Act, which aims to "close the gap" between current industry practices and consumers’ understanding of how their health data is ...