Kevin Ball
Benjamin Nolan
The topic of the roundtable is about the trade-offs involved in choosing PETs and the regulatory landscape involved in implementing the chosen PET.
Core PET trade-offs:
• The analytical objective
• Data availability and PETs
• Quality of data and PETs
Core implementation trade-offs:
• Ideal digital infrastructure trade-offs: Confidentiality, Integrity and Availability
• The regulatory landscape in context of the ideal digital infrastructure
Goal: Maximize the analytical objective subject to the different tradeoffs.
Kurt Nielsen
Kurt is the CEO and co-founder of Partisia, a global leader in applied Secure Multi-Party Computation across applications and platforms. He holds a PhD in Economics and a part-time position as Associate Professor at the University of Copenhagen. As an experienced entrepreneur he has turned advanced cryptography solutions into innovative high-tech businesses for over 15 years e.g. as co-founder of Partisia, Sepior, and Partisia Blockchain.
Partisia
Website: https://partisia.com/
Partisia Blockchain is the world’s first privacy based blockchain powered by Partisia’s 35 years of research and 15 years of practical implementation in multiparty computation solutions. Partisia Blockchain and Partisia together creates a unique blend of solutions that enable both public, private or a combination of both to provide a customized solution to organizations to solve for both transparency and privacy needs.
From creating new data market models, private auctions and tenders, unbiased random number generation, supply chain management, computation of private data for artificial intelligence models, and collaborative data analytics, Partisia and Partisia Blockchain can help create new business models, solve existing challenges and build new ways of establishing trust.
As the first company ever to have commercial success in implementing a multiparty computation solution and with established partnerships with corporations, NGOs and government bodies, our expertise has created new ways to establish trust and collaboration between any entities.
Please visit us at partisiablockchain.com and partisia.com
This roundtable delves into the challenges and strategies for safeguarding privacy within the rapidly evolving domains of artificial intelligence (AI) and emerging technologies. Experts will explore the latest advancements in privacy-enhancing technologies (PETs) and frameworks crucial for developing new tech that prioritizes user privacy while protecting both algorithms and data
Sal Kimmich
Sal Kimmich is the Technical Community Architect for the Confidential Computing Consortium (CCC), where they bring together over a decade of expertise in computational architecture and cybersecurity. They started their career sharing Python scripts with other computational neuroscientists in the wild world of supercomputing. A decade later, they are still paying attention to the algorithmic side of open source tech. Before joining CCC, Sal worked as a scalable SecDevOps Machine Learning engineer and brought those contributions to the Cloud Native Computing Foundation (CNCF) and the Open Source Security Foundation (OpenSSF). They have focused on practical automation around security best practices like Security Slams. Sal aims to make maintainers’ work rewarding, to create tech demos that dazzle, and to showcase the world-class Open Source Projects for Confidential Computing and beyond.
Andrew Martin
Confidential Computing Consortium
Website: https://confidentialcomputing.io/
The Confidential Computing Consortium is a community focused on projects securing data in use and accelerating the adoption of Confidential Computing through open collaboration.
The Confidential Computing Consortium (CCC) brings together hardware vendors, cloud providers, and software developers to accelerate the adoption of Trusted Execution Environment (TEE) technologies and standards.
CCC is a project community at the Linux Foundation dedicated to defining and accelerating the adoption of Confidential Computing. It embodies open governance and open collaboration that has aided the success of similarly ambitious efforts. The effort includes commitments from numerous member organizations and contributions from several open source projects.
Leveraging data is a key part to unlocking the power of PETs, as discussed through various lenses, from healthcare to investment, the audience will gain an understanding of the fundamental nature of PETs and help formulate a roadmap for data success.
For instance in healthcare, when assessing the value of your data, change your perception of data-use, viewing it as an opportunity rather than a risk. Sharing technical information about a drug is crucial, but it's equally important to communicate and promote its value. In healthcare, data feedback on a drug's performance and potential strategies to enhance its market reach can provide businesses with valuable insights beyond drug development.
Lawrence Lundy-Bryan
Lawrence is a deep tech researcher and investor. He is a Partner for Research at Lunar Ventures, a deep tech venture fund where he focuses on horizon scanning. He developed stateofthefuture.xyz, a deep tech tracker, monitoring over 100+ technologies, and writes weekly stateofthefuture.substack.com. He published an investment thesis on privacy-enhancing technologies in 2021. He has previously advised the UK Government, EU Commission, and World Economic Forum on emerging technologies.
Claudine Tinsman
Claudine is a Researcher at the Open Data Institute. She is about to complete her DPhil in Cyber Security at the University of Oxford, where she examined how end-users interact with content control features on social media platforms to prevent and mitigate content-related emotional and psychological harm. During her time at Oxford, she contributed to the policy discourse on online harms by submitting evidence to the House of Commons as part of the Online Safety Bill's consultation phase. She also co-created Proving the Negative, a podcast translating cyber security and tech policy research accessible to a general audience.
Claudine also holds a Master of Law from the University of Lausanne, where she researched the legal, philosophical, and societal implications of granting personhood to autonomous AI agents. She is fluent in French and proficient in German.
Kurt Nielsen
Kurt is the CEO and co-founder of Partisia, a global leader in applied Secure Multi-Party Computation across applications and platforms. He holds a PhD in Economics and a part-time position as Associate Professor at the University of Copenhagen. As an experienced entrepreneur he has turned advanced cryptography solutions into innovative high-tech businesses for over 15 years e.g. as co-founder of Partisia, Sepior, and Partisia Blockchain.
Elea Himmelsbach
Confidential Computing Consortium
Website: https://confidentialcomputing.io/
The Confidential Computing Consortium is a community focused on projects securing data in use and accelerating the adoption of Confidential Computing through open collaboration.
The Confidential Computing Consortium (CCC) brings together hardware vendors, cloud providers, and software developers to accelerate the adoption of Trusted Execution Environment (TEE) technologies and standards.
CCC is a project community at the Linux Foundation dedicated to defining and accelerating the adoption of Confidential Computing. It embodies open governance and open collaboration that has aided the success of similarly ambitious efforts. The effort includes commitments from numerous member organizations and contributions from several open source projects.
Partisia
Website: https://partisia.com/
Partisia Blockchain is the world’s first privacy based blockchain powered by Partisia’s 35 years of research and 15 years of practical implementation in multiparty computation solutions. Partisia Blockchain and Partisia together creates a unique blend of solutions that enable both public, private or a combination of both to provide a customized solution to organizations to solve for both transparency and privacy needs.
From creating new data market models, private auctions and tenders, unbiased random number generation, supply chain management, computation of private data for artificial intelligence models, and collaborative data analytics, Partisia and Partisia Blockchain can help create new business models, solve existing challenges and build new ways of establishing trust.
As the first company ever to have commercial success in implementing a multiparty computation solution and with established partnerships with corporations, NGOs and government bodies, our expertise has created new ways to establish trust and collaboration between any entities.
Please visit us at partisiablockchain.com and partisia.com