Netflix's documentary Coded Bias argues that machine-learning systems quietly absorb the sexism and racism of the society that builds them — and that facial recognition in the hands of governments and big tech raises serious privacy stakes. In this episode, drawn from Luiz Felipe Mendes' 2021 essay (updated for the GPT era), we walk through what the film gets right, where it oversimplifies, and why "the technology isn't evil — how we deploy it is" is the throughline. We also connect the film's warnings to today's large language models.

In this episode:

• Why AI isn't inherently evil, and how the same models that encode bias can be used to detect and reduce it
• The film's strengths: human stories, concrete real-world examples, and that it actually proposes solutions (regulation, not just alarm)
• Where ...