The abundance of cheap cloud storage and massive compute capabilities has driven an exponential use of personal big data within the insurance industry. Unlocking the value of this data in a compliant manner creates the ideal opportunity for Privacy Enhancing Technologies. In this session, Phil May, Group DPO for Hastings Direct gives his personal view as to the nature of those data protection challenges, and how they might present particular use cases for PETs. In closing, he reviews some of the blockers to adoption and how companies could assist in driving PET adoption.
Phillip May
Group Data Protection Officer
Hastings Direct
Mike Dewar
Vice President Data Science
Mastercard
Dr Michael Dewar is a VP of Data Science in the Crypto and Security Innovation team within Cyber & Intelligence at Mastercard. Dr Dewar has a PhD in complex systems from the University of Sheffield, held postdoctoral positions at Edinburgh and Columbia Universities, and has published widely in the fields of mathematical modelling and machine learning.
Before joining Mastercard, Dr Dewar has held data scientist positions at the social media company bit.ly, and in the R&D Lab at the New York Times. During his time at Mastercard, Dr Dewar and his team have been responsible for creating large-scale financial crime products used by the top UK banks, including the Trace Money Mules, Consumer Fraud Risk and Corporate Fraud Risk products.
• Health Sector
• Financial Sector
• Data Governance
• Legal Requirements
Over the last 3 years, I have been working on streamlining and monetizing external data collaborations in pharma. I want to share with you the challenges I faced, the projects that succeeded and failed, and the immense cultural and trust change that needs to be operated to achieve results.
Claire Clements
Strategic IG Lead
NECS
Delve into the newest guidelines and reports from esteemed authorities such as FCA, ICO, OFCOM, CDEI, and The Royal Society and discuss the use of aggregation techniques to customers and stakeholders, which is becoming increasingly important in today's data-driven world? How are companies working with experts in data science to ensure they're implementing PETs correctly and managing the associated risks? Guidelines express that technologies allow companies to protect sensitive data while still using it to drive innovation and growth, so what is next in the world of data optimisation?
Learn about the standards of PETs practice authorities such as the ISO, and the privacy by design and anonymisation standards. share data, encryption using PETs, and how automation is enhancing technology. International developments of privacy-enhancing technologies are becoming increasingly popular, as regulators worldwide promote their adoption. Get a glimpse of how industries are responding to this change by investing in PETs and leveraging their benefits. Can PETs build trust with
Moderator
Dr. June Brawner
Senior Policy Adviser for Data and Digital Technologies
The Royal Society
Dr. June Brawner is a policy advisor at The Royal Society, the UK’s national academy of sciences. She leads the Society’s work on Privacy Enhancing Technologies (PETs) within the Data and AI policy team, which is developing policy and promoting debate that helps the UK safely and rapidly realise the growing benefits of data science and digital technologies.
June’s career in academic and policy research spans the US, UK, and Central / Eastern Europe, with a focus on environmental data for policymaking. Prior to her current role she worked as a research consultant and has previously completed fellowships with the Fulbright Commission and Columbia University’s Council for European Studies.
As an anthropologist, June is especially interested in the ‘social life’ of data: the cultural and political factors that hinder or promote the equitable use of data for research, innovation, and decision-making. To this end, she sees upholding the right to privacy as a key technical and social challenge in using data for societal benefit.
Dr Ismini Psychoula
Senior Technical Advisor – Machine Learning, PETs, & Trustworthy AI
OFCOM
Dr. Ismini Psychoula is a Senior Technology Advisor at Ofcom where she works on multidisciplinary projects that integrate Machine Learning, Privacy Enhancing Technologies, and Trustworthy AI in the context of online safety.
Prior to her current role she worked as a Research Scientist in industry, leading privacy-preserving machine learning and explainable AI projects. Her expertise in artificial intelligence, privacy, and data governance, has led her to gain experience in variety of sectors such as healthcare, internet of things, finance, cybersecurity, and online safety.
In addition to her role at Ofcom, Ismini is also an Honorary Senior Research Fellow at UCL where she collaborates in research work related to federated learning, differential privacy, natural language processing, synthetic data, and responsible AI.
Paul Comerford
Principal Technology Policy Advisor
ICO
Paul Comerford is a Principal Technology Adviser within the Technology and Innovation directorate at the ICO. Paul previously worked in academia as a lecturer, holding Computer Networks and Cyber security positions at several universities. Since joining the ICO in 2018, Paul is a lead on the development of UK GDPR guidance on anonymisation, pseudonymisation and also ICO PETs guidance published in September 2023.
Pavle Avramović
Emerging Tech & Research
Financial Conduct Authority
Pavle leads the Emerging Technologies Hub at the Financial Conduct Authority (FCA). He focuses on providing insights and thought leadership on how emerging technologies could impact financial services markets, consumers and regulators. His areas of focus include quantum computing, privacy enhancing technologies, synthetic data and distributed ledger technologies.
Previously he was closely involved in FCA’s efforts across RegTech and SupTech, including the TechSprint work programme. He also leads the Digital Regulation Cooperation Forum (DRCF) Horizon Scanning Workstream and is a member of the World Economic Forum Quantum Security Working Group.
He holds a MSc in Digital Innovation and Information Systems from the London School of Economics and is an Industrial Fellow at the University of East London. He has co-authored papers for the Harvard Data Science Review, Alan Turing Institute and other organisations, including presenting at major conferences and research seminars.
Benjamin Moore
Senior Policy Advisor
DSIT
Ben is a Senior Policy Advisor at the Responsible Technology Adoption Unit (RTA), formerly the Centre for Data, Ethics and Innovation (CDEI), in the Department for Science Innovation & Technology (DSIT). At RTA, Ben leads the Responsible Data Access programme, which aims to drive innovative approaches to tackle data access barriers and includes a range of projects focused on Privacy-Enhancing Technologies (PETs).
Ben has experience working at the intersection of ethics and policy on AI and a wide range of data-driven technologies, including PETs.
The RTA has published an interactive PETs adoption guide and a repository of real-world use-cases, and co-ran the UK-US PETs prize challenges, a world-leading initiative to incentivise novel innovation in PETs.