Masters of Privacy

Can we introduce greater individual agency in the management of identity? Will that lead to better controls over personal data and less privacy risks? What is the problem with LinkedIn? Are we turning a page in the evolution and potential mass adoption of cryptographic solutions? How can we avoid storing personal information on the blockchain? Dan has spent his career building products from 0-1 at the intersection of predictive analytics, AI/ML, and privacy.  He most notably served as a Group Product Manager at Google, where he built Google’s most sophisticated personalized marketing and cross-identity measurement products, Google Analytics and Google Signals, respectively. Prior to co-founding Icebreaker, he served as a Group Product Manager at Coinbase, where he led Consumer Trading, earning a patent for AI-assisted multi-chain intent orchestration.  He holds a BS in Management Science from the Massachusetts Institute of Technology. References: Dan Stone on Icebreaker  Icebreaker: an open, decentralized professional networking platform Jamie Smith: AI Agents, digital identity, wallets and personal data (Masters of Privacy) Adrian Doerk: digital identity, digital wallets, and data protection (Masters of Privacy) Joana Mota: privacy compliance in a web3 world (Masters of Privacy) Gam Dias: On privacy, agency, convenience, and freedom (Masters of Privacy) Project VRM (Berkman Klein Center, Harvard University) Doc Searls, The Intention Economy

Carey Lening, JD, CDPP writes, speaks, and consults on data protection, law, technology, and fractal complexity in systems. Currently based in Ireland, Carey has over 20 years of experience in thinking about hard problems and helping people arrive at practical solutions. Besides providing data protection compliance support to select clients, Carey runs Privacat Insights, a newsletter that offers a paid tier with exclusive content, members-only Q&A, a slack channel and a yearly meetup. References: Privacat Insights 18,000 words. Four Questions. Much Delegation. Little Guidance EDPB opinion 28/2024 on certain data protection aspects related to the processing of personal data in the context of AI models Privacy Disasters: Microsoft, Just Because You Can (Recall) Privacy Disasters: AI Spy-Wearables, and the Scourge of Competing Friendants An early adopter's thoughts on Rewind.ai's $350m pivot Privacy Disasters: FaceHuggers Are Eating Your Skeets Carey Lening on LinkedIn Carey Lening on Bluesky (Jeffrey Pfeffer) Power: Why Some People Have it and Others Don't  

Lokke Moerel is a leading global expert on new technologies, Artificial Intelligence (AI), Big Data, and the Internet of Things, as well as Morrison & Foerster’s lead counsel on Binding Corporate Rules (BCR), with vast experience advising multinational companies in obtaining their BCR approvals throughout the EU. She has also authored the leading textbook on the subject, published by Oxford University Press.   We recorded this interview prior to the publication of the European Data Protection Board’s opinion on AI models and GDPR principles, following both a discussion paper issued by Hamburg’s Supervisory Authority (“Do LLMs contain personal data?”) and an announcement by the Irish Data Protection Commissioner that it would open an investigation into Google’s PaLM model.   A separate interview on the same topic, with Jorge Garcia Herrero, was released last week on our Spanish-language channel. References: Do LLMs 'store' personal data? This is asking the wrong question (Lokke Moerel, Marijn Storm) Lokke Moerel on LinkedIn Lokke Moerel, Morrison & Foerster  EDPB opinion 28/2024 on certain data protection aspects related to the processing of personal data in the context of AI models Discussion Paper: Large Language Models and Personal Data (Hamburgische Beauftragte für Datenschutz und Informationsfreiheit) Large Language Models do not store personal data: the LLM discussion paper of Hamburg’s DPA with Dr. Markus Wünschelbaum (PrivacyPod) Data Protection Commission launches inquiry into Google AI model (DPC) ChatGPT provides false information about people, and OpenAI can’t correct it (NOYB) Report of the work undertaken by the EDPB ChatGPT Taskforce (May 2024) [ES] Jorge García Herrero: ¿Contienen datos personales los LLM? ¿Cómo aplicamos el RGPD a los sistemas de IA generativa? (Masters of Privacy)

Are Personal AI Agents the future of individual empowerment? How can the evolution of digital identity make them a reality?  Jamie Smith is the CEO and Founder of Customer Futures, a company focused on digital identity and customer-controlled personal data. He has been working at the forefront of digital transformation for nearly 15 years, helping deliver innovative solutions for some of the world's largest organizations.  Jamie has previously worked at Evernym, Ctrl-Shift, BT and Deloitte, before embarking on various recent projects, always in the same space. References: Customer Futures - Newsletter  Jamie Smith on LinkedIn Icebreaker: an open, decentralized professional networking platform Adrian Doerk: digital identity, digital wallets, and data protection (Masters of Privacy) Gam Dias: On privacy, agency, convenience, and freedom (Masters of Privacy) Turning the Web3 Tech Stack into the Post Web Stack (Jamie Burke, Outlier Ventures) Anthropic: introducing Claude 3.5 Sonnet Google unveils Project Mariner: AI agents to use the web for you (Techcrunch) Top 3 Trends in Digital Identity: What’s New in Standards, Privacy, & Institutional Adoption (Privado.id) Dazza Greenwood: When AI Agents Conduct Transactions Uniform Electronic Transactions Act