Venturing into the "uninhabited zone" to explore the path of artificial intelligence

As a significant breakthrough in the field of natural language processing, Chat Generative Pre-trained Transformer's (ChatGPT's) powerful language generation and transfer capabilities have not only changed the way of human-computer interaction, but also had a revolutionary impact on multiple industries. Currently, to develop the third generation of artificial intelligence (AI), issues related to knowledge, data, algorithm innovation, computational resources, and ethics need to be addressed. The Chinese model is mainly application-driven, but the basic theoretical research is relatively weak. The development history of AI shows that realizing artificial general intelligence still faces enormous challenges. In the upsurge of AI, we should remain calm and scrutinize its potential risks. China should increase the intensity of basic theoretical research, attract global talent, and jointly promote the healthy and sustainable development of the field of AI.

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Publication Details

Journal
Engineering Education Review
Published
2024-10-23
DOI
https://doi.org/10.54844/eer.2024.0628
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
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article

Venturing into the "uninhabited zone" to explore the path of artificial intelligence

Bo Zhang
1 citations
Engineering Education Review
Big Data and Business Intelligence
0.53
article

Venturing into the "uninhabited zone" to explore the path of artificial intelligence

Bo Zhang
article en
1 citations

Abstract

As a significant breakthrough in the field of natural language processing, Chat Generative Pre-trained Transformer's (ChatGPT's) powerful language generation and transfer capabilities have not only changed the way of human-computer interaction, but also had a revolutionary impact on multiple industries. Currently, to develop the third generation of artificial intelligence (AI), issues related to knowledge, data, algorithm innovation, computational resources, and ethics need to be addressed. The Chinese model is mainly application-driven, but the basic theoretical research is relatively weak. The development history of AI shows that realizing artificial general intelligence still faces enormous challenges. In the upsurge of AI, we should remain calm and scrutinize its potential risks. China should increase the intensity of basic theoretical research, attract global talent, and jointly promote the healthy and sustainable development of the field of AI.

Engineering Education ReviewVol. 2(2)
Tsinghua University (CN)
Openalex Percentile: Top 25%
Big Data and Business Intelligence
0.53
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Venturing into the "uninhabited zone" to explore the path of artificial intelligence — Bo Zhang · Engineering Education Review (2024) | TGRS Research Map | TGRS