The HBS hosts wonder whether ChatGPT is the least of our worries. 

Generative Ai is a still new and emergent technology capable of producing not only text that could be mistaken as human-generated, but also images, video, music, and "voice." For all of the amazing opportunities opened up by generative AI, however, it does not come without its own risks. Secondary and post-secondary education, for example, was thrown into crisis in late 2022 when ChatGPT was released, and is still weathering that storm. Meanwhile, other AI models, known as "diffusion models" (which generate audio, images and video) have also been getting more sophisticated at a lightning pace. Yet, the average internet user has very little knowledge of how generative AI works, and far less the skills to distinguish its outputs from human-generated content.

Especially in an election year, should we worry about the circulation of products that generative AI models generate? What are the implications of the rapid and wide-spread proliferation of fake news and deepfakes? How do we guard against the "feedback loop" problem in generative AI learning models?

This week, we try to explain and de-mystify generative AI  in order to get to the root of what we should be concerned about and what we shouldn't.

Full episode notes at this link:
https://hotelbarpodcast.com/podcast/episode-141-generative-ai

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