Addressing Bias in AI and the Role of Open Source

The speakers explore the issue of bias in AI and machine learning, emphasizing the need to understand and address unintentional biases embedded in these technologies. They discuss the importance of open source in tackling bias and highlight the potential societal impact of biased AI models. The chapter also touches on government regulation of AI and the ethical implications of advancements in pattern recognition.