From Wild West to Responsible AI Testing In-the-Wild - Facial Recognition Technology
Cambridge University Press via YouTube
Our career paths help you become job ready faster
35% Off Finance Skills That Get You Hired - Code CFI35
Overview
Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Join this webinar featuring leading researchers discussing the evolution of facial recognition technology testing by European law enforcement agencies from 2016 to 2020. Explore comparative case studies examining live facial recognition technology trials conducted across Europe, analyzing the transition from unregulated "wild west" approaches to more responsible AI testing methodologies. Learn from Karen Yeung of the University of Birmingham and Wenlong Li of Zhejiang University as they present their research on in-the-wild testing practices, joined by Pete Fussey from the University of Southampton who provides insights into the human rights implications of advanced surveillance and policing technologies. Discover how law enforcement authorities have adapted their testing approaches over time, examine the regulatory and ethical challenges surrounding facial recognition deployment in real-world settings, and understand the broader implications for AI governance and policy development. Gain insights into the methodological approaches used to evaluate these technologies in operational environments, the lessons learned from European testing experiences, and the ongoing debate about balancing security needs with privacy rights and civil liberties in the context of emerging surveillance technologies.
Syllabus
From ‘wild west’ to ‘responsible’ AI testing ‘in-the-wild’: Facial recognition technology
Taught by
Cambridge University Press