Facial recognition technology is widely used in law enforcement, security, and even everyday applications—but can it truly be fair? In this episode of Emerging Tech Debates, our AI hosts examine the deep-rooted biases in facial recognition systems, analyzing MIT’s groundbreaking Gender Shades study and recent lawsuits against tech giants over discriminatory AI practices.

We explore how facial recognition algorithms have shown significant inaccuracies, particularly for women and people of color, and discuss the ethical, legal, and societal implications of these biases. Can AI be trained to be truly unbiased, or is fairness an impossible goal in algorithmic decision-making? Tune in as we break down the challenges and potential solutions to one of the most critical debates in AI ethics today.