Blueprints for Deploying Privacy Enhancing Technologies in E-Government | Liina Kamm

Please join the Program on Geopolitics, Technology, and Governance on Tuesday, May 14th at 3 PM Pacific for a talk with Liina Kamm, a Global Digital Governance Fellow at Stanford University for spring 2024 and a senior researcher at Cybernetica, a deep-tech company in Estonia. At this event, co-sponsored by Stanford University Libraries, Liina will be presenting her research on the blueprints for deploying privacy-enhancing technologies in e-government. 

About the session:
Liina Kamm's public talk at Stanford, “Blueprints for Deploying Privacy Enhancing Technologies in E-Government,” hosted by Stanford's Program on Geopolitics, Technology, and Governance, will address how governments are increasingly becoming providers of data-driven services to both citizens and organizations. As the number of these services grows, governments will store greater amounts of personal and company data. Data minimization and data protection can be legal obligations, especially for governments that have passed data protection and privacy regulations. However, even without such regulations, it is a good information security practice for organizations to only process as much data as is necessary. This talk will give an overview of how we put together a privacy-enhancing technology (PET) concept and roadmap for e-government, including motivations, an adoption strategy, and blueprints for services that benefit from PETs.
 
Liina Kamm is a Global Digital Governance Fellow at Stanford University for spring 2024 and a senior researcher at Cybernetica, a deep-tech company in Estonia. Her research focuses on the uptake of privacy-enhancing technologies, enabling privacy-preserving statistical analysis for social sciences and genomics, and the security and privacy of AI systems. Her current work also includes leading and managing research projects and consulting industry and public sector organizations on the uptake of privacy-enhancing technologies and AI risk management. She is Cybernetica’s PI for the Horizon Europe project CHESS (Cyber-security Excellence Hub in Estonia and South Moravia) and the Office of Naval Research (ONR) project PAI-MACHINE on machine-optimizing machine learning algorithms for secure multi-party computation. She also leads the research group on the security and privacy of AI in the Estonian Centre of Excellence for AI. Liina received her PhD in computer science (cryptography) from the University of Tartu (Estonia).