Performance and Policy Considerations for Automated Age Verification

FREE September 10 @ 11:00am - 12:30pm ET

Overview

Industries from education to retail to transportation must increasingly rely on automated age verification systems to comply with policy and product performance demands. Creating automated age verification systems with high performance and minimal privacy or misidentification risks is a technological challenge for experts in artificial intelligence.

During this webinar, you will hear from two experts in the field of facial analysis address the performance and policy demands of age verification and discuss what they anticipate for the future of this technology.

  • Facial Age Analysis Explained in Plain English, by Julie Dawson, ​​Director of Regulatory & Policy, Yoti. (slides)
  • Improving the performance of age verification algorithms and facial analysis by Dr. Karl Ricanek, Professor of Computer Science at University of North Carolina at Wilmington. (slides)
  • Risk and policy solutions in facial analysis. Hodan Omaar, Policy Analyst, Information Technology and Innovation Foundation. (slides)

This webinar is part of our Applied Privacy Research Collaboration Network. This project was funded by the National Science Foundation to facilitate dialogue between the academic community and industry on topics related to data protection and privacy.

Speakers

Julie Dawson

Director, Regulatory & Policy, Yoti

Julie is known internationally for driving the ethical framework development at Yoti digital identity platform. 

Julie leads regulatory and government relations for Yoti digital identity platform; developing policy approaches for fraud prevention and safeguarding, liaising with national and sectoral trust frameworks, in conjunction with Yoti’s internal and external ethics boards.

Julie is an authority in digital identity policy, ethics and governance, she represents Yoti at numerous fora including the World Economic Forum Digital Identity Innovators; techUK Public Sector, Data Ethics and Digital Identity Boards, ADA Citizens Biometric Council Oversight Board, the All Party Parliamentary Group for Digital Identity, the Sprite + Network – Security, Privacy, Identity, and Trust Engagement Network, Strategic Advisory Board of the EPSRC programme ‘INTUIT: Interaction Design for Trusted Sharing of Personal Health Data to Live Well with HIV’ and the EU SHERPA Stakeholder Board – looking at the combination of artificial intelligence and big data analytics and their impact on ethics and human rights issues.

Julie has a proven track record of developing advanced strategic insight, impactful thought leadership, stewarding strategic opportunities, and differentiated policy positioning.

Dr. Sara Jordan

Senior Researcher, AI & Ethics , Future of Privacy Forum

Dr. Sara R. Jordan is Senior Researcher, Artificial Intelligence and Ethics at the Future of Privacy Forum. Her profile includes privacy implications of data sharing, data and AI review boards, privacy analysis of AI and Machine Learning (AI/ML) technologies, and analysis of the ethics challenges of AI/ ML. Sara is an active member of the IEEE Global Initiative on Ethics for Autonomous and Intelligent Systems. Prior to working at FPF, Sara was faculty in the Center for Public Administration and Policy at Virginia Tech (2014-2020) and in the Department of Politics and Public Administration at the University of Hong Kong (2007- 2013). She is a graduate of Texas A&M University and University of South Florida.

Hodan Omaar

Policy Analyst, Center for Data Innovation

Hodan Omaar is a policy analyst at the Center for Data Innovation focusing on AI policy. Previously, she worked as a senior consultant on technology and risk management in London and as a crypto-economist in Berlin. She has an MA in Economics and Mathematics from the University of Edinburgh.

Dr. Karl Ricanek Jr.

Director of the UNCW Institute for Interdisciplinary Identity Sciences (I3S), University of North Carolina, Wilmington

 Dr. Karl Ricanek Jr. received his Ph.D. in Electrical Engineering from North Carolina A&T State Univ in 1999 in the area of face recognition. His research area focuses on AI/ML for biometrics, signal processing, facial analytics, and face recognition. Prior to starting the doctorate program Dr. Ricanek was an engineer with the Naval Undersea Warfare Center (NUWC) where he worked on expert systems, combat control systems, and other platforms for the U.S. Nuclear Submarine Fleet. He was awarded multiple awards and honorifics for his service with NUWC. 

Dr. Ricanek joined University of North Carolina, Wilmington, in 2003 where he established the Interdisciplinary Research Lab which focused on advanced research for the US Government in the areas of computer vision, machine intelligence, and biometrics. He has been the lead PI or co-PI on more than 35 grants and contracts with the US Government and Department of Defense. He was a founding PI for the first Office of the Directorate of National Intelligence (ODNI) Center for Academic Excellence in Science and Technology, CASIS. Dr. Ricanek is a founding member of the Team for Interdiscpilnary Global Research (TIGR). TIGR promotes the diffusion of interdisciplinary research on the cultural, political, historical, economic, religious, and linguistic aspects that inform a constantly evolving and increasingly globalized world.

Dr. Ricanek has worked with more than 120 undergraduate and graduate students at UNCW and across the world. Dr. Ricanek has more than 90 peer reviewed articles and book chapters in the area of computer vision, biometrics, facial analytics, craniofacial morphology, and artificial intelligence. He holds multiple patents, he has licensed his technology and products around the globe, and has spun out three companies. Dr. Ricanek developed the viral web app Face My Age in the summer of 2014 that launched many of the AI face apps that you see today. 

As a founder of Lapetus Solutions, one of his spinouts, a venture equity funded venture in the InsurTech and FinTech space, holds the title of CEO and Chief AI Scientist where he and his team build AI enhanced technology to extract health and wellness from the face.