This podcast episode explores the importance of explainability and accountability in AI systems, the journey of a data scientist who became interested in these concepts, the relationship between ontology, knowledge graphs, and conversational AI, conversational AI technology, the limitations of generative transformers, the role of generative AI in society, the desafios of bias and accessibility in AI, generative AI, challenges and potential solutions, conversational interfaces, the potential of combining generative models with knowledge graphs, and the future of AI and learning.
