Masters of Privacy

As of today, February 16th, Google’s platform policies allow the collection, sharing and usage of IP addresses and other signals across websites, apps, gaming consoles or Connected TV. This has been perceived as a direct contradiction of the company’s long-term anti-fingerprinting policy. The company is expecting that a growing reliance on Privacy Enhancing Technologies will do away with the resulting privacy risks.  Daniel B. Rosenzweig is the Founder & Principal Attorney at DBR Data Privacy Solutions. He advises clients on legal and technical compliance with data privacy and AI laws, and counsels companies on industry mobile app store requirements, AdTech, and privacy-enhancing technologies (PETs). Daniel’s legal practice is unique in that he develops and codes technical solutions to help serve as a bridge between legal, marketing, and technical teams, in addition to providing clients the usual legal services. References: Daniel B. Rosenzweig on LinkedIn DBR Data Privacy Solutions Google: Overview of the Platforms programs policies update (February 2025) ICO: Our response to Google’s policy change on fingerprinting AdExchanger: Does Google’s U-Turn On Fingerprinting ‘Open New Opportunities’ Or Is It ‘Irresponsible’? Peter Craddock: ePrivacy exceptions, advertising, analytics, the limits of consent and server-side processing (Masters of Privacy) Sergio Maldonado on PETs and AdTech: Some takeaways from PEPR’24 (USENIX Conference on Privacy Engineering Practice and Respect 2024)   

This was a really eventful week for AI regulation, with the first rules of the AI Act starting to apply on Sunday, February 2nd and the EU Commission releasing Guidelines on Tuesday (prohibited practices) and Thursday (scope of AI systems). To cap it all, a first-ever class action under the new framework (alongside the GDPR and the Digital Services Act) was filed on Wednesday against X-Twitter and TikTok.  The following conversation with Markus Wünschelbaum, with a particular focus on digital advertising and AdTech, preceded and rightly anticipated these developments.  Dr. Markus Wünschelbaum currently serves as Policy and Data Strategy Advisor to Hamburg’s Data Protection Commissioner Thomas Fuchs. In this role, he advises on key data protection & AI policies and strategic initiatives. Previously, he was responsible for imposing fines, fundamental GDPR issues, and freedom of information. He began his career focusing on the intersection of labor law and data protection, having published an acclaimed doctoral thesis on this topic and working at an international law firm. References: Dr. Markus Wünschelbaum on LinkedIn Hamburg’s Data Protection Commissioner (Der Hamburgische Beauftragte für Datenschutz und Informationsfreiheit) Guidelines on prohibited artificial intelligence (AI) practices, as defined by the AI Act (EU Commission) Guidelines on AI system definition to facilitate the first AI Act’s rules application (EU Commission) Class Actions Filed Against TikTok and X in Germany: A Test for the DSA, GDPR, and AI Act (Spirit Legal - Peter Hense) Peter Hense (Spirit Legal) on Masters of Privacy Luca Bertuzzi (Euractiv)

Alex Dittel leads KHQ’s Data Privacy, Cyber and Digital legal practice. He brings over 15 years of experience in data protection, information security and technology commercial matters acquired during his time working for big and small technology companies and law firms in the United Kingdom and Australia. As a passionate GDPR-native data privacy lawyer, he advises on Australian as well as international data privacy matters. He holds CIPP/A, CIPP/E and CIPP/US certifications from the IAPP. References: Alexander Dittel on LinkedIn KHQ: Data Privacy, Cyber and Digital Alex Dittel: OAIC’s decision a warning re use of facial recognition technology First Tranche of Australia’s Privacy Law reforms explained (Association of Corporate Counsel)  

Should we celebrate January 28th as Data Privacy Day or Data Protection Day? Experts dissect the crucial differences between privacy, data protection, and data privacy. They criticize current regulations like GDPR for their shallow focus. The discussion also highlights how AI technologies could reshape these concepts. The U.S. and EU approaches to privacy rights are compared, revealing historical contexts and regulatory variations. This conversation invites listeners to consider the ethical implications of how personal data is used.

This special mountain retreat will bring together a unique combination of backgrounds and nationalities. NextAI is an initiative of Alberto Lopez Valenzuela and we have asked him to share more details.  Alberto Lopez Valenzuela is an entrepreneur with over 25 years of experience in the decision intelligence sector, mainly in the UK and the US. He founded alva in 2009, a London-based AI analytics firm that ended up working with hundreds of blue-chip clients, expanding to New York and establishing the company as an industry leader. In 2021 alva was acquired by US private equity firm Falfurrias Capital Partners and this, together with the incorporation of other companies, resulted in the creation of Penta. Alberto was the Managing Director of its AI division until 2023.  In 2024, he founded Ordino Partners, incubating and investing in AI tech startups with a meaningful social impact. As an author, Alberto published The Connecting Leader in 2018.  Masters of Privacy is a NextAI partner and Sergio Maldonado (your host) will be attending the event. References: NextAI (use this voucher code for an additional 15% discount: PRINXT25) Alberto Lopez Valenzuela on LinkedIn Ordino Partners Andorra: ski resorts, restaurants and destinations

Matthew Niederberger, a seasoned Martech consultant and founder of MarTech Therapy, discusses the future of Customer Data Platforms amid industry consolidation and privacy challenges. He highlights the impact of recent legal issues on data sharing and the importance of first-party data activation. Matthew emphasizes the shift towards a human-centric approach and the role of Profile Sync in enhancing customer insights. Additionally, he navigates the complexities of GDPR and the crucial need for consumer trust in today's privacy-conscious landscape.

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