Generative artificial intelligence

IF 7.1 3区 管理学 Q1 BUSINESS Electronic Markets Pub Date : 2023-12-06 DOI:10.1007/s12525-023-00680-1
Leonardo Banh, Gero Strobel
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Abstract

Recent developments in the field of artificial intelligence (AI) have enabled new paradigms of machine processing, shifting from data-driven, discriminative AI tasks toward sophisticated, creative tasks through generative AI. Leveraging deep generative models, generative AI is capable of producing novel and realistic content across a broad spectrum (e.g., texts, images, or programming code) for various domains based on basic user prompts. In this article, we offer a comprehensive overview of the fundamentals of generative AI with its underpinning concepts and prospects. We provide a conceptual introduction to relevant terms and techniques, outline the inherent properties that constitute generative AI, and elaborate on the potentials and challenges. We underline the necessity for researchers and practitioners to comprehend the distinctive characteristics of generative artificial intelligence in order to harness its potential while mitigating its risks and to contribute to a principal understanding.

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生成式人工智能
人工智能(AI)领域的最新发展使机器处理的新范式成为可能,从数据驱动的、判别性的人工智能任务转向通过生成式人工智能完成的复杂的、创造性的任务。利用深度生成模型,生成式人工智能能够根据基本的用户提示为各种领域生产跨广泛的新颖和现实的内容(例如,文本,图像或编程代码)。在本文中,我们全面概述了生成式人工智能的基本原理及其基础概念和前景。我们提供了相关术语和技术的概念介绍,概述了构成生成式人工智能的固有属性,并详细阐述了潜力和挑战。我们强调研究人员和实践者有必要理解生成式人工智能的独特特征,以便在利用其潜力的同时降低其风险,并为主要理解做出贡献。
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来源期刊
Electronic Markets
Electronic Markets Multiple-
CiteScore
14.80
自引率
15.30%
发文量
85
期刊介绍: Electronic Markets (EM) stands as a premier academic journal providing a dynamic platform for research into various forms of networked business. Recognizing the pivotal role of information and communication technology (ICT), EM delves into how ICT transforms the interactions between organizations and customers across diverse domains such as social networks, electronic commerce, supply chain management, and customer relationship management. Electronic markets, in essence, encompass the realms of networked business where multiple suppliers and customers engage in economic transactions within single or multiple tiers of economic value chains. This broad concept encompasses various forms, including allocation platforms with dynamic price discovery mechanisms, fostering atomistic relationships. Notable examples originate from financial markets (e.g., CBOT, XETRA) and energy markets (e.g., EEX, ICE). Join us in exploring the multifaceted landscape of electronic markets and their transformative impact on business interactions and dynamics.
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