What can AI learn from psychology? At least three things: Explanation is as important as prediction. Simple is sometimes better than complex. And less is more.
Psychology often prefers a principle of parsimony: Simpler is better than complex. seems to dominate many aspects of society and the sciences, including psychology. Machine learning and deep learning have become far more common, and in neuropsychology and clinical psychology, there has been an increase in AI methods and tools.
Predicting an outcome is important, but explaining the mechanisms behind getting to an outcome is often at least as important. And here, the cognitive sciences come in. It is tempting to automatically assume that large artificial neural networks always yield the best performance, contradicting Occam's razor. The incredible findings from most AI models, such as ChatGPT, may suggest that Occam's razor does not apply. More complex models with larger datasets always perform better, it seems.
Such a dialog act classification system is useful for tools like chatbots and intelligent systems. They allow for communication with the user in natural language and—importantly—will respond naturally to the user."Have just had it" will then not yield a response such as"Great that you have it, sir," but with an"I am sorry to hear that." Dialog act classification systems classify utterances into appreciations, opinions, floor-grabbers, clarifications, etc.
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