Facial Recognition: Bias and Wrongful Accusations

This chapter examines the fallout from wrongful accusations linked to flawed facial recognition technology, highlighting the personal journey of Robert and Melissa as they confront the implications of AI in law enforcement. It explores significant issues of racial bias, drawing on real-life examples of wrongful arrests and the systemic failures of AI systems. The discussion advocates for a re-evaluation of the ethical use of facial recognition technology, emphasizing the need for diverse data sets to mitigate inherent biases.