Program
| Time | Session |
|---|---|
| 08:00 am – 08:30 am | Registration |
| 08:30 am – 08:45 am | Welcome Remarks |
| 08:45 am – 09:45 am | Paper Session I: Designing for Privacy Expectations |
| 09:45 am – 10:30 am | Panel Discussion |
| 10:30 am – 10:45 am | Networking/Coffee Break |
| 10:45 am – 11:45 am | Paper Session II: Turning Privacy Strategy into Action |
| 12:00 pm – 01:00 pm | Lunch |
| 01:00 pm – 02:00 pm | Paper Session III: Frameworks for Responsible AI |
| 02:00 pm – 02:45 pm | Keynote |
| 02:45 pm – 03:30 pm | Paper Session IV: Privacy in AI Applications |
| 03:30 pm – 03:45 pm | Networking/Coffee Break |
| 03:45 pm – 04:45 pm | Paper Session V: Delivering Privacy-First AI |
| 04:45 pm – 05:15 pm | Invited Speaker |
| 05:15 pm – 05:45 pm | Shifting Grounds: Emergent Ideas on Privacy Expectations |
| 05:45 pm – 06:00 pm | Closing Remarks |
Keynote
| What’s in a Name? Why the Meaning of Privacy in PETs Matters Helen Nissenbaum, Cornell Tech |
Invited Talk
| Building Bridges: Developing a Common Privacy Lexicon Lukas Bundonis, Netflix |
Panel
| Functional Privacy: Operationalizing Privacy for the Future Joe Andrieu, Legendary Requirements; Scott David, University of Washington; Lynn Parker Dupree, Finnegan, Henderson, Farabow, Garrett, and Dunner LLP |
Paper Sessions
| Paper Session I: Designing for Privacy Expectations |
| Transparency Performance Indicators (TPIs) – A User-Centric Methodology for Measuring the PII Controller Compliance and Conformance Salvatore (Sal) D’Agostino, IDmachines LLC |
| Self-Sovereign Identity: Ambition vs. Reality in Europe and the U.S. Ronald Petrlic, Nuremberg Institute of Technology, Germany |
| Remarks on the Relevance of Privacy Expectations for Default Opt-out Settings Sebastian Zimmeck, Wesleyan University |
| Privacy Preference Declarations: Signed Receipts for Expectation-Aligned Smart Homes Daniel Smullen, CableLabs |
| Paper Session II: Turning Privacy Strategy into Action |
| Applying the IEEE Digital Privacy Model to Connected Vehicles and Intelligent Transportation Systems David G. Michelson, University of British Columbia; Amith Khandakar, Qatar University |
| Scaling with Finesse: Building Self-service Infrastructure for Operationalizing Privacy at Meta Peter Nieuwenhuizen; Simran Patil, Meta |
| Privacy as Design Priority – Preserving Data Utility with Providing Strong Privacy Protections Michael A. Koets, Southwest Research Institute |
| Privacy Analysis of Consumer Hardware Devices – Strategies, Pitfalls and Opportunities to Build Privacy Respecting Hardware Suchakra Sharma, Whirly Labs; Marcus Hodges, Meta |
| Paper Session III: Frameworks for Responsible AI |
| PERAI: Privacy Enhancing & Responsible AI Framework for Data & AI Lifecycle Susmit Das; Vaishnav K V; Sahil Suresh K; Ajinkya Khanzode; Sayanil Ghosh; Abilash Soundararajan, PrivaSapien Technologies |
| Rethinking Data Governance in the Age of AI: The Emerging Risks of Implicative Data Emmi Bane; Carl Mathis, HP |
| Privacy-Aware Infrastructure – Enabling Trustworthy AI and Innovation through Data Insight Vasileios Lakafosis; Dave Kurtzberg, Meta |
| Dynamic Digital Privacy: An Adaptive Governance Model for Emerging Technological Threats Fabrizio Degni, Independent Researcher |
| Paper Session IV: Privacy in AI Applications |
| Agentic AI in Fintech: Balancing Autonomy and Privacy in Multi-Agent Architectures Akshaya Aradhya, Oscilar; Akhilesh Srivastava, Apple; Harshit Chandel, Moneris |
| Redefining Privacy in the Age of AI-driven Recruitment and Synthetic Content Puja Modha, Aria Grace Law CIC |
| Empowering Government Agencies in Singapore for Confident Data Sharing: Design and Early Insights from an AI-powered Tool for Data Privacy and Quality Assessment Anshu Singh, Government Technology Agency, Singapore |
| Paper Session V: Delivering Privacy-First AI |
| Benchmarking Privacy Metrics in Machine Learning: A Unified Framework Vinay Sharma, Persistent Systems Inc. |
| Accelerating Privacy Implementations Using GenAI Rituraj Kirti; Daniel Ramagem, Meta |
| Shifting from Reactive to Proactive: Privacy & Compliance in AI-Driven Organizations Selin Kocalar, Delve; Akhilesh Srivastava, Apple; Abhinav Gupta, Medallia |
| Making Privacy-Preserving AI Accessible: A Practitioner-Oriented Framework Yash Maurya, Scale AI; Ibrahim Mohamed Anis Chhaya; Hana Habib, Carnegie Mellon University |
Shifting Grounds: Emergent Ideas on Privacy Expectations
| Trust or Trap? Exploring the Privacy Paradox in Personal Reliance on AI Assistants Sanjnah Ananda Kumar, Salesforce |
| A User-Centric, Privacy-Preserving, and Verifiable Ecosystem for Managing and Using Personal Data Osama Zafar; Mina Namazi; Yuqiao Xu, Case Western Reserve University; Youngjin Yoo, The London School of Economics and Political Sciences; Erman Ayday, Case Western Reserve University |
| Enhancing Data Privacy and Autonomy through Identity Interaction Protocols in Self-Sovereign Identity Platforms Martin Bong; Patrick Offor, City Univ. of Seattle |
| Integrating User-Centric Privacy-by-Design into AI Lifecycles: A Framework for Measurable Privacy Controls Harshit Chandel, Moneris; Akhilesh Srivastava, Apple; Jason Cronk, Institute of Operational Privacy Design |
| Digital Forrest Transparency Charter for Global Digital Privacy Mark Lizar, Global Privacy Rights, Canada |