Bias and Diversity in AI and Tech

This chapter discusses the implications of artificial intelligence and machine learning within society, focusing on how biases in historical data can lead to unjust outcomes. It emphasizes the need for integrating qualitative insights and fostering diversity in the tech industry to combat systemic biases and improve technology's impact. The conversation also highlights the importance of promoting gender diversity in tech education and careers to inspire future generations and enhance innovation.