CISIM Keynote Lecture 2023
An Impact of Transformative Artificial Intelligence Research on Biometric Privacy, Security and Ethics
Presenter: Professor Marina L Gavrilova,
Member of the Order of the University of Calgary, Canada
Biometric authentication is one of the most reliable mechanisms of ensuring proper verification of an individual. Over past decade, it became a highly popular practice for government, consumer, and financial institutions to ensure authorized access to resources and information. Biometrics are also increasingly used in a cybersecurity context to mitigate online vulnerabilities, to detect possible threats and to ensure protection against an unauthorized access.
With the rise of the technological advancements, such as AI and deep learning, more and more capabilities exist to infer private information of individuals and to use aggregate data mining for commercial or other purposes. This lecture will discuss how deep learning methods can enhance biometric recognition accuracy in a variety of settings: unimodal and multi-modal systems, social behavioral biometrics, and risk assessment. The lecture will further focus on risks of privacy and ethical considerations, with discussing cancellability and de-identification as two of the mechanisms to mitigate the privacy concerns. Open problems and future directions of research will be also discussed.