The need for large training datasets of recorded human interactions and emotional responses across cultures is mentioned.
The role of training data in propagating or mitigating biases in AI systems is mentioned.
The podcast episodes discuss the importance of high-quality training data for AI systems, and how the data used to train these models can propagate or exacerbate human biases.
Several episodes highlight controversies around the sourcing and use of training data, such as Adobe's use of competitor AI-generated images to train its Firefly model, and Google's $60 million deal with Reddit to access user-generated content for training purposes.
The episodes also explore the challenges of ensuring training data is representative, diverse, and free of harmful biases, and the need for greater transparency and accountability around AI development practices.