Biases in AI: A Deep Dive

This chapter explores the intricate relationship between artificial intelligence and the biases embedded in the data it processes, revealing how these biases can perpetuate societal inequalities. It discusses the role of content creators in shaping training data, leading to a skewed representation that favors the elite, and emphasizes the implications for marginalized groups, particularly those from the global south. Additionally, the chapter highlights ethical concerns regarding the labor involved in AI development, raising critical questions about wealth distribution and fairness in AI systems.

Transcript

Play full episode

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.