Artificial Intelligence and Ten Societal Megatrends: An Exploratory Study Using GPT-3

全球化 城市化 新兴技术 探索性研究 人口 计算机科学 政治学 人工智能 经济增长 社会学 经济 社会科学 人口学 法学
作者
Daniela Haluza,David Jungwirth
出处
期刊:Systems [Multidisciplinary Digital Publishing Institute]
卷期号:11 (3): 120-120 被引量:153
标识
DOI:10.3390/systems11030120
摘要

This paper examines the potential of artificial intelligence (AI) to address societal megatrends, with a specific focus on OpenAI’s Generative Pre-Trained Transformer 3 (GPT-3). To do this, we conducted an analysis using GPT-3 in order to explore the benefits of AI for digitalization, urbanization, globalization, climate change, automation and mobility, global health issues, and the aging population. We also looked at emerging markets as well as sustainability in this study. Interaction with GPT-3 was conducted solely through prompt questions, and generated responses were analyzed. Our results indicate that AI can significantly improve our understanding of these megatrends by providing insights into how they develop over time and which solutions could be implemented. Further research is needed to determine how effective AI will be in addressing them successfully, but initial findings are encouraging. Our discussion focuses on the implications of our findings for society going forward and suggests that further investigation should be conducted into how best to utilize new technologies such as GPT-3 when tackling these challenges. Lastly, we conclude that, while there is still much work left to do before any tangible effects can be seen from utilizing AI tools such as GPT-3 on societal megatrends, early indications suggest it may have a positive impact if used correctly.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
ding应助公西元风采纳,获得10
刚刚
刚刚
电池SOC发布了新的文献求助10
1秒前
1秒前
Allen完成签到,获得积分10
1秒前
2秒前
2秒前
完美世界应助嫑嫑采纳,获得10
2秒前
小二郎应助走四方采纳,获得10
2秒前
WXY发布了新的文献求助10
2秒前
3秒前
3秒前
Focus应助Megan采纳,获得10
3秒前
王亚娟发布了新的文献求助10
3秒前
3秒前
天天快乐应助666采纳,获得30
3秒前
4秒前
acb完成签到,获得积分10
4秒前
飞竹弥树发布了新的文献求助10
4秒前
张佳琪完成签到,获得积分10
5秒前
yinx完成签到 ,获得积分10
5秒前
小蘑菇应助有点意思采纳,获得10
5秒前
天天快乐应助谨慎雅山采纳,获得10
5秒前
5秒前
5秒前
orixero应助太空芝士采纳,获得10
5秒前
激动的萧发布了新的文献求助10
6秒前
虚心谷梦发布了新的文献求助10
6秒前
小马甲应助明亮的紫伊采纳,获得10
7秒前
淡水痕发布了新的文献求助10
7秒前
7秒前
李健的小迷弟应助小蝴蝶采纳,获得10
7秒前
丘比特应助鱼瑜采纳,获得10
7秒前
一只鱼发布了新的文献求助30
7秒前
7秒前
7秒前
yyyt发布了新的文献求助10
7秒前
王十三发布了新的文献求助50
7秒前
7秒前
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7740292
求助须知:如何正确求助?哪些是违规求助? 9289038
关于积分的说明 20193425
捐赠科研通 7318510
什么是DOI,文献DOI怎么找? 3306434
关于科研通互助平台的介绍 2458669
邀请新用户注册赠送积分活动 2316546