What problems could an excessive reliance on AI for cybersecurity cause? Is the lack of maturity in AI the top barrier to implementation for security? Do we have sufficient data protection standards in place? How can we establish trust and transparency in AI systems?
She is a current member of the San Francisco Fleet Week Association and California Alumni Association Boards of Directors. In her spare time, she is completing her dissertation at UC Berkeley, focused on innovation and designing interventions that increase the capacity and technical fluency of the organization’s workforce. She lives in San Francisco, CA and is a native of Santa Rosa, graduating from Santa Rosa High School in 1991.
Nicolas Pinto got his Neuroscience PhD from MIT in 2010 where he was the first to use GPUs for Neural Networks. He also taught GPU Programming to Computational Scientists at Harvard & MIT where he did his postdoc until 2012. He then founded Perceptio in 2014, the first privacy-preserving mobile Deep Learning startup. Apple acquired his startup in 2014, which formed the genesis of all Deep Learning technologies deployed on Apple’s current product line. Nicolas left Apple in early 2018 to focus on the intersection of Blockchain and AI for security, privacy and scalability of these systems. To this end, he recently co-founded Cygni Labs with Thomas France from Ledger, the crypto hardware wallet company.
Eddan Katz is the Project Lead on Digital Protocol Networks at the World Economic Forum, where he facilitates the norms-setting process and dissemination of the protocols advanced by the projects at the Center for the Fourth Industrial Revolution. Eddan has previously served as the International Affairs Director at the Electronic Frontier Foundation, where he worked on advocacy initiatives at international multi-stakeholder decision-making bodies in the areas of cybercrime, data privacy, intellectual property, and freedom of expression. He was the first Executive Director of the Information Society Project at Yale Law School where he taught Cyberlaw and founded the Access to Knowledge initiative. He has a J.D. from UC Berkeley Law School and a B.A. in Philosophy from Yale.
Modar is a serial entrepreneur and expert in AI-based vision software development. He is currently founder and CEO at Eyeris, developer of a Deep Learning-based emotion recognition software, EmoVu, that reads facial micro-expressions. Eyeris uses Convolutional Neural Networks (CNN's) as a Deep Learning architecture to train and deploy its algorithm in to a number of today’s commercial applications. Modar combines a decade of experience between Human Machine Interaction (HMI) and Audience Behavioral Measurement. He is a frequent keynoter on “Ambient Intelligence”, a winner of several technology and innovation awards and has been featured in many major publications for his work.
Erin Kenneally is currently serving out her role as Program Manager in the Cyber Security Division for the U.S. Dept of Homeland Security, Science & Technology Directorate. Her portfolio comprises cybersecurity research infrastructure, privacy, cyber risk conomics, and technology ethics. She manages the IMPACT (Information Marketplace for Policy and Analysis of Cyber-risk and Trust), CYRIE (Cyber Risk Economics), and Data Privacy programs. Kenneally is Founder and CEO of Elchemy, Inc., and served as Technology-Law Specialist at the International Computer Science Institute (ICSI) and the Center for Internet Data Analysis (CAIDA) and Center for Evidence-based Security Research (CESR) at the University of California, San Diego. Erin is a licensed Attorney specializing in information technology law, including privacy technology, data protection, artificial intelligence ethics and legal risk, trusted information sharing, technology policy, cybercrime, data ethics, and emergent IT legal risks. She holds Juris Doctorate and Masters of Forensic Sciences degrees and is a graduate of Syracuse University and The George Washington University.