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In this second part, Christendom College theology professor Eric Jenislawski deepens the conversation by examining the historical development of natural language AI and its often-overlooked ethical and cultural implications. Beginning with early precursors like Eliza and Dissociated Press, Jenislawski traces the evolution of AI language tools up to today’s neural networks, explaining key concepts like embeddings, dataset bias, and the structure of modern models in a clear and accessible way.
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In this second part, Christendom College theology professor Eric Jenislawski deepens the conversation by examining the historical development of natural language AI and its often-overlooked ethical and cultural implications. Beginning with early precursors like Eliza and Dissociated Press, Jenislawski traces the evolution of AI language tools up to today’s neural networks, explaining key concepts like embeddings, dataset bias, and the structure of modern models in a clear and accessible way.
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