Meta, AI, and the New Privacy Laws: What You Need to Know

Pedro Pavón is the Global Director of Monetization, Privacy, and Fairness at Meta, the tech company behind Facebook, Instagram, WhatsApp and Threads. In addition to providing legal counsel and advocating for data privacy, data protection, fairness, and algorithmic transparency, Pedro leads a team of lawyers and policy professionals. Beyond his responsibilities at Meta, Pedro teaches privacy and information security law at the Georgia State University College of Law. Pedro is a thought leader and writer on privacy and data security issues related to AI, Metaverse, digital advertising, blockchain, and IoT.

In this episode…

In December 2022, Meta (formerly Facebook) settled a $725 million lawsuit alleging that the company gave third parties access to users' private data without permission. Meta is now attempting to become a data privacy leader, so what safeguards have they implemented?

Privacy professional Pedro Pavón explains Meta is making tremendous efforts to improve data protection and user transparency. Besides empowering the legal team with the authority to negate atrocious ideas with the potential to harm users, Meta now equips individuals with more control and transparency regarding their data. Meta is also launching new technology, such as the AI chatbot. To shield data, the security team enables security by design protection and transparent communication on how AI systems use people’s data. Data privacy transparency is crucial because it helps build trust between consumers and businesses. It lets customers understand how their data is collected, used, and shared. This enables them to make informed decisions about their privacy and security.

In this episode of the She Said Privacy/He Said Security Podcast with Jodi and Justin Daniels, Pedro Pavón, Global Director of Monetization, Privacy, and Fairness at Meta, discusses how the company is improving data privacy. Pedro shares the role privacy and data protection play in the new Meta AI chatbot, why privacy should be more transparent, and ways AI can improve privacy.