Generative AI: An AI paradigm shift in the making?

IF 2.5 4区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Ai Magazine Pub Date : 2024-02-17 DOI:10.1002/aaai.12155

Risto Miikkulainen

引用次数: 0

Abstract

It is sometimes difficult to evaluate progress in Generative AI, that is, image generation and large language models. This may be because they represent a paradigm shift in AI, and the traditional ways of developing, evaluating, understanding, and deploying AI systems no longer apply. Instead, we need to develop new such approaches, possibly by extending those currently in use in cognitive neuroscience and psychology. In this manner, a new AI paradigm can be created, providing a significant leap in AI research and practice.

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生成式人工智能：正在发生的人工智能范式转变？

有时很难评估生成式人工智能（即图像生成和大型语言模型）的进展。这可能是因为它们代表了人工智能的范式转变，而开发、评估、理解和部署人工智能系统的传统方法已不再适用。相反，我们需要开发新的此类方法，可能是通过扩展认知神经科学和心理学目前使用的方法。通过这种方式，我们可以创建一个新的人工智能范式，为人工智能研究和实践带来重大飞跃。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ai Magazine 工程技术-计算机：人工智能

CiteScore

3.90

自引率

11.10%

发文量

审稿时长

>12 weeks

期刊介绍： AI Magazine publishes original articles that are reasonably self-contained and aimed at a broad spectrum of the AI community. Technical content should be kept to a minimum. In general, the magazine does not publish articles that have been published elsewhere in whole or in part. The magazine welcomes the contribution of articles on the theory and practice of AI as well as general survey articles, tutorial articles on timely topics, conference or symposia or workshop reports, and timely columns on topics of interest to AI scientists.