This document summarizes John Tubert's presentation on bias in artificial intelligence at SXSW. Tubert discusses how unconscious bias can negatively impact AI systems, providing examples of AI-powered hiring tools and self-driving cars discriminating against protected groups. He urges considering how AI may treat people differently based on attributes like gender, skin color, or minority status. The presentation then offers methods companies can use to mitigate bias, such as diversifying training data and teams, testing algorithms for bias, and auditing models with independent firms before deployment.