WPF hosting tutorial on Privacy in Computer Vision Systems at IEEE/WACV Conference

January 4-8, 2024

Organized by World Privacy Forum

WPF has organized a robust and interactive tutorial on advanced AI governance and privacy for Computer Vision systems (and beyond), to be held at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). WACV is the premier international computer vision event comprised of a main conference and several co-located workshops and tutorials. 

What makes this AI governance and data protection tutorial compelling? The 8 speakers for this tutorial are working at the top of their respective fields, with presentations that combine to make a muscular, socio-technical dive into today’s most pressing issues around AI technology, governance, privacy, and policy structures.   This tutorial is arranged in a logical flow that moves participants through the technical and the policy aspects of advanced systems development and governance.  including technical, legal, ethical, and privacy analysis, as well as emerging norms and additional considerations to be aware of.The tutorial will include ample time for analysis and discussion, and will be participatory. 

Tutorial Logistics: 

When: Sunday, 7 January, 1:00 pm – 5 pm 
Where: Waikoloa Beach Marriott Resort 
Room: Paniolo III
Address: Waikoloa Beach Marriott Resort, 69-275 Waikoloa Beach Drive, Waikoloa, HI
Conference website:  https://wacv2024.thecvf.com/
Questions? Write us at: info@worldprivacyforum.org


This is a packed and fast-moving agenda geared to Computer Vision developers. People who have an interest in or professional need to understand modern data governance, privacy, and applied AI ethics in complex systems will benefit from this tutorial which will present very hard-to-find information from leading CV and AI experts and leading data governance and privacy experts. 

The sessions are structured to provide ample opportunity for interactive analysis and discussion. 

(A detailed agenda will be posted prior to the tutorial)

The tutorial sessions include the following session topics : 

  • Biometric systems and advanced technical tutorial on biometrics, CV, privacy, accepted biometric best practices, and legal and normative frameworks. Also includes standards for “human in the loop” and biometric fusion models. 
  • Video biometric data and autism research 
  • Differential Privacy and AI Fairness: Understanding Limits and Policy
  • Synthetic data uses in the health sector; advanced 
  • Consensus-Based Research and Indigenous Data Rights
  • Social impact statements for technical conference papers: what are they, why do they matter, and best practices with exemplars 
  • The Evolution of Privacy in the Advanced AI Era: Global and regional norms

Speaker Bios:

(Listed alphabetically)

François Brémond
Inria Research Director DR1
INRIA Sophia-Antipolis Méditerranée in the STARS team
Universite ́ Cote d’Azur, France

François Brémond is a Research Director at Inria Sophia Antipolis-Méditerranée, where he created the STARS team in 2012. He has pioneered the combination of Artificial Intelligence, Machine Learning and Computer Vision for Video Understanding since 1993, both at Sophia-Antipolis and at USC (University of Southern California), LA. In 1997 he obtained his PhD degree in video understanding and pursued this work at USC on the interpretation of videos taken from UAV (Unmanned Airborne Vehicle). In 2000, recruited as a researcher at Inria, he modeled human behavior for Scene Understanding: perception, multi-sensor fusion, spatio-temporal reasoning and activity recognition. He is a co-founder of Keeneo, Ekinnox and Neosensys, three companies in intelligent video monitoring and business intelligence. He also co-founded the CoBTek team from Nice University in January 2012 with Prof. P. Robert from Nice Hospital on the study of behavioral disorders for older adults suffering from dementia. He is author or co-author of more than 250 scientific papers published in international journals or conferences in video understanding. He has (co)- supervised 20 PhD theses.

More information is available at: http://www-sop.inria.fr/members/Francois.Bremond/ 

Pam Dixon 
Founder and Executive Director,
World Privacy Forum
Co-chair, UN Statistics Data Governance and Legal Frameworks working group

Pam Dixon is the founder and executive director of the World Privacy Forum, a respected nonprofit, non-partisan, public interest research group. An author and researcher, she has written influential studies in the area of identity, AI, health, and complex data ecosystems and their governance for more than 20 years. Dixon has worked extensively on data governance and privacy across multiple jurisdictions, including the US, India, Africa, Asia, the EU, and additional jurisdictions. Her field research on India’s Aadhaar identity ecosystem, peer-reviewed and published in Nature Springer, was cited in India’s landmark Aadhaar Privacy Supreme Court opinion. Dixon currently serves as the co-chair of the UN Statistics Data Governance and Legal Frameworks working group, and is co-chair of WHO’s Research, Academic, and Technical network. At OECD, Dixon is a member of the OECD.AI Network of Experts and serves in multiple expert groups, including the AI Futures group. In prior work at OECD, Dixon was part of the original AI expert group that crafted the OECD AI Principles, which were ratified in 2019. Dixon has presented her work on complex data ecosystems governance to the The National Academies of Sciences, Engineering, and Medicine and to the Royal Academies of Science. She is the author of nine books and numerous studies and articles, and she serves on the editorial board of the Journal of Technology Science, a Harvard-based publication. Dixon was named one of the most influential global experts in digital identity in 2021. Dixon received the Electronic Frontier Foundation Pioneer Award in 2021 for her ongoing oeuvre of groundbreaking research regarding privacy and data ecosystems. 

Terina Fa‘agau
Staff Attorney
Native Hawaiian Legal Corporation

Terina Faʻagau is a Staff Attorney at the Native Hawaiian Legal Corporation. Terina’s practice focuses on matters to assist clients to mālama iwi kūpuna (care for ancestral remains), aloha ʻāina (steward their land/environment), and perpetuate Native Hawaiian traditional and customary practices, which includes complex civil litigation and appellate matters in Hawaiʻi courts as well as administrative proceedings. Prior to joining NHLC, Terina was a clerk for Associate Justice Todd W. Eddins of the Hawaiʻi Supreme Court and a Post-Juris Doctor Legal Fellow with the Ka Huli Ao Center for Excellence in Native Hawaiian Law at the University of Hawai‘i, Richardson School of Law.

Devin Kamealoha Forrest 
Staff Attorney
Native Hawaiian Legal Corporation

Devin Kamealoha Forrest was raised in Hāʻena Kauaʻi by his maternal grandparents Francis and Kapeka Chandler who emphasized the importance of the many facets that make up the Hawaiian culture and worldview. He went through the traditional rights of ʻūniki under Kumu Hula Lehua Matsumoto attaining the rank of kumu hula himself. Along with his cultural training, he has also completed a B.A. in Hawaiian Language and Culture, an M.A. in Indigenous Language Revitalization with a focus on Hawaiian Language and Literature, from Ka Haka ʻUla ʻo Keʻelikōlani, College of Hawaiian Language at the University of Hawaiʻi at Hilo, and a J.D. from the William S. Richardson School of Law at the University of Hawaiʻi at Mānoa.

Kate Kaye 
Deputy Director,
World Privacy Forum

Kate Kaye, deputy director of the World Privacy Forum, is a researcher, author, and award-winning journalist. She is a member of the OECD.AI Network of Experts, where she contributes to the Expert Group on AI Risk and Accountability. In addition to her extensive research and reporting on data and AI, Kate is the recipient of the Montreal AI Ethics Institute Research Internship, and was a member of UNHCR’s Hive Data Advisory Board.

Michael King
Research Scientist, Harris Institute for Assured Information and Associate Professor, Electrical Engineering and Computer Science, Florida Institute of Technology 

Dr. Michael King joined Florida Institute of Technology’s Harris Institute for Assured Information as a Research Scientist in 2015 and holds a joint appointment as Associate Professor in the Department of Computer Engineering and Sciences.

Prior to joining academia, Dr King served for more than 10 years as a scientific research/program management professional in the United States Intelligence Community. While in government, Dr King created, directed, and managed research portfolios covering a broad range of topics related to biometrics and identity to include: advanced exploitation algorithm development, advanced sensors and acquisition systems, and computational imaging. He crafted and led the Intelligence Advanced Research Projects Activity’s (IARPA) Biometric Exploitation Science and Technology (BEST) Program to transition technology deliverables successfully to several Government organizations.

Recognized as an expert in biometrics and identity intelligence, he has been invited to brief the Director of National Intelligence, Congressional staffers and science advisers, Defense Science Board, and Intelligence Science Board. He also served as Intelligence Community Department Lead to the White House Office of Science and Technology Policy’s National Science and Technology Council Subcommittee on Biometrics and Identity Management (2005 – 2012).

Dr King received his PhD in Electrical Engineering from North Carolina Agricultural and Technical State University in 2001 and has research interests in the areas of biometrics, cyber identity, and machine learning.

Sanmi (Oluwasanmi) Koyejo
Assistant Professor
Department of Computer Science at Stanford University
President of Black in AI

Sanmi (Oluwasanmi) Koyejo is an Assistant Professor in the Department of Computer Science at Stanford University. Koyejo was previously an Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Koyejo’s research interests are in developing the principles and practice of trustworthy machine learning, focusing on applications to neuroscience and healthcare. Koyejo completed a Ph.D. at the University of Texas at Austin, and postdoctoral research at Stanford University. Koyejo has been the recipient of several awards, including a best paper award from the conference on uncertainty in artificial intelligence, a Skip Ellis Early Career Award, a Sloan Fellowship, a Terman faculty fellowship, an NSF CAREER award, a Kavli Fellowship, an IJCAI early career spotlight, and a trainee award from the Organization for Human Brain Mapping. Koyejo spends time at Google as a part of the Brain team, serves on the Neural Information Processing Systems Foundation Board, the Association for Health Learning and Inference Board, and as president of the Black in AIorganization.

Thomas Strohmer
Center for Data Science and Artificial Intelligence Research (CeDAR)
UC Davis

Thomas Strohmer is an expert in the mathematical methods of data science, information theory, numerical algorithms, and applied harmonic analysis. He has extensive experience in inter- and transdisciplinary research and has worked on data science and AI applications in medical diagnostics, molecular biology, communications engineering, image analysis, and defense.

  • Posted January 18, 2024 in