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ARTICLE · 05 JULY 2024

What Have We Learned About Generative AI From 1960s German Philosophy?

Generative AI excels at content manipulation but lacks context, reason, and emotional awareness. While it risks promoting shallow engagement, it shows potential in areas like therapy. Businesses will benefit pragmatically, but education needs urgent adaptation to ensure deep learning.

United KingdomTechnology

In the final chapter of "Meaningful dialogue after ChatGPT", I will bring my thoughts together to conclude what generative AI currently is and what it could become.

This is the last in a series of five articles, so by all means read it, but you may want to go back to the beginning for context; all articles are referenced at the bottom of this piece.

Generative AI and Gadamer's three types of conversation

Despite the extraordinary technical advance that generative AI represents, Gadamer's ideas show that it cannot function as a synthetic human in conversation, whatever clever mimicry it can employ to pass the Turing Test.

This is not because of problems with bias or hallucinations, which actually make it more human-like, but rather a lack of awareness of its context, an absence of reason, morality or emotions, and an inability to "fuse" with anyone or anything because it cannot update itself.

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