This session will explore the complex landscape of privacy within higher education, emphasizing universal lessons learned about PETs and privacy programs through the lens of universities with operations and infrastructure the size and complexity of a small city - including healthcare, finance, and defense contracting.
This session will detail best practices and considerations when developing, procuring, and deploying Privacy-Enhancing Technologies (PETs). Proper governance, accountability mechanisms, and vendor management are all key to the responsible adoption of PETs, yet few companies have experience developing robust procedures for managing an inventory of PETs. The FTC has already opined in a blog about potential future enforcement actions where companies could mismanage PETs, particularly concerning multi-party computations. We hope to provide an in-depth discussion of PETs governance to spur the thoughtful adoption of in-house and third-party accountability procedures so that companies understand how to leverage these nascent technologies without risking further regulatory scrutiny.
Miles Light is an attorney and technologist working across Privacy Initiatives at BBB National Programs. Before joining BBB National Programs, Miles worked at the Future of Privacy Forum on privacy and data protection issues related to Children, Education, and Smart Cities. Miles has a particular interest in children’s online safety, Privacy Enhancing Technologies, and copyright issues surrounding Generative AI. Miles is a 2023-2025 Internet Law & Policy Foundry Fellow. Before becoming an attorney, Miles was a librarian. He is still happiest when talking about books.
Myriah Jaworski is a Data Privacy partner at Clark Hill. Focusing her practice on the intersection of law and technology, Myriah represents clients in defense of data breach class actions, privacy torts and statutory claims (IRPA/BIPA/VPPA/CIPA), pixel tacking and commercial surveillance matters, internet defamation, technology disputes, and media liability claims. Myriah defends clients in response to regulatory inquiries and investigations arising out of data incidents and privacy practices, including before state Attorney General offices, the Federal Trade Commission (FTC) and the Department of Human and Health Services – Office of Civil Rights (HHS/OCR). Myriah litigates in many state and federal jurisdictions throughout the United States. Myriah has defended clients in headline-making cyber bullying and data breach class actions, obtained a first-of-its-kind federal trial damages award in a misdirected wire transfer/business email compromise case, and represented the app developer at the center of the Cambridge Analytica matter in federal court proceedings. She is a Certified Information Privacy Professional, United States (CIPP/US) and a Certified Information Privacy Professional, Europe (CIPP/E) as certified by the International Association of Privacy Professionals (IAPP). Myriah began her career as a Trial Attorney with the United States Department of Justice (DOJ).
Saraswathy is a PET (Privacy Enhancing Technologies) Engineer in HP’s Global Privacy Engineering Center of Excellence (CoE).
In her role within the CoE, Sara works to apply a variety of PETs to enterprise scale use cases across the company. In her role she blends the theoretical underpinnings of PETs with a practical focus on business value and risk.
She earned her PhD in Mathematics from University of Cincinnati where her research focused on post quantum cryptography.
She has since worked on researching and developing solutions in privacy using multiple technologies including MultiParty Computation (MPC), Fully Homomorphic Encryption (FHE) and Differential Privacy (DP).
Our access to data and our ability to process it, including with AI, are growing by the week. But at the same time, there is increasing concern about personal data - both from regulators (new laws are rapidly coming up in various countries) and from people - a strong cultural shift in society. How can organizations - particularly those that work in or with multiple countries - deal with the challenge of these conflicting dynamics, and turn it into an opportunity?
Lambert Hogenhout is Chief Data, Analytics and Emerging Technologies at the United Nations Secretariat. He is also an author, keynote speaker and advisor on data, AI and responsible tech.
He has 25 years of experience working both in the private sector and with international organizations such as the World Bank and the United Nations. He leads policy, governance and strategy in the areas of data and AI. He researches the societal implications of technology and advises UN senior leaders on digital transformation and the ethics of data and AI. He recently published a book on Data Privacy in international context.
Amanda Wang is an Information Systems Officer in the United Nations. She has over 20 years of experience in the areas of data management and information systems, and is actively involved in data privacy initiatives. She has passed the following certification exams: IAPP’s Certified Information Privacy Technologist (CIPT), IAPP’s Certified Information Privacy Manager (CIPM), ISACA’s Certified Information Systems Auditor (CISA) and DAMA’s Certified Data Management Professional (CDMP-data fundamentals).
This session will focus on exploring solutions for cross-border data transfer and data anonymization use cases. The importance of working together and sharing information to enhance efficiency and uncover untapped opportunities cannot be overstated. However, data is often kept isolated and restricted in order to prevent it from being compromised and to comply with various regulations.
Industry professionals will share their experiences on how they have improved collaboration both within their organisations and with external partners. They will also discuss the challenges they have faced and how they have overcome them, as well as the potential for partnerships created by PETs.
Lambert Hogenhout is Chief Data, Analytics and Emerging Technologies at the United Nations Secretariat. He is also an author, keynote speaker and advisor on data, AI and responsible tech.
He has 25 years of experience working both in the private sector and with international organizations such as the World Bank and the United Nations. He leads policy, governance and strategy in the areas of data and AI. He researches the societal implications of technology and advises UN senior leaders on digital transformation and the ethics of data and AI. He recently published a book on Data Privacy in international context.
Ved Upadhyay is a seasoned professional in the realm of data science and artificial intelligence (AI). With a focus on addressing complex challenges in data science on an enterprise scale, he boasts over 7 years of hands-on experience in crafting AI-powered solutions for businesses. Ved’s expertise spans diverse industries, including retail, e-commerce, pharmaceuticals, agrotech, and socio-tech, where he has successfully productized multiple machine learning pipelines. Currently serving as a Senior Data Scientist at Walmart, Ved spearheads multiple data science initiatives centered around customer propensity and responsible AI solutions at enterprise scale. Prior to venturing into the industry, Ved earned his master’s degree in Data Science from the University of Illinois at Urbana-Champaign and contributed as a Deep Learning researcher at IIIT Hyderabad. His research contributions are reflected in multiple publications in the field of applied AI.
Namratha Sathish is a data scientist currently employed at CVS Health, a Fortune 500 company, and a leading provider of comprehensive health solutions. CVS Health is renowned for its pioneering contributions to pharmacy services, health plans, and holistic wellness programs. Namratha has a track record in implementing data-driven solutions across diverse domains including e-commerce, agriculture, technology, and most notably, the healthcare industry. With over three years of experience, she has demonstrated proficiency in developing and deploying advanced machine-learning models and algorithms. As a seasoned speaker, she is well-versed in sharing valuable insights and expertise at prestigious conferences.
Since joining Amgen R&D in 2018, Zoran Krunic has been at the forefront of applying Machine Learning to enhance patient outcomes and streamline clinical trial enrollment processes, utilizing comprehensive Electronic Health Records and clinical datasets. His pioneering work in the Quantum Machine Learning space, in collaboration with IBM's Quantum team, has been instrumental in integrating machine learning with quantum computing through IBM’s Qiskit platform.
Prior to his tenure at Amgen, Zoran developed Machine Learning algorithms at Optum to predict hardware and software failures within complex enterprise architectures. He has a strong background in data engineering and systems development, having contributed significantly to large-scale projects at renowned organizations such as Capital Group and ARCO Petroleum.
In his current full and part-time endeavors, Zoran is leading the efforts in embracing generative AI technologies, with a particular focus on OpenAI's GPT and Anthropic's Claude-2 models. His work is focused on prompt engineering and its application to code generation, advanced document analysis, and process management, with a commitment to ethical AI practices and data privacy.
A recognized voice in quantum computing circles, Zoran is a regular presenter at industry conferences and has served on numerous panels discussing the integration of quantum computing and generative AI within the Health Sciences sector.
With a Master of Science in Electrical Engineering & Computer Science, Zoran continues to explore and contribute to the evolving relationship between quantum computing and artificial intelligence, fostering groundbreaking advancements in healthcare technology.
