{"title":"Generative artificial intelligence","authors":"Leonardo Banh, Gero Strobel","doi":"10.1007/s12525-023-00680-1","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":47719,"journal":{"name":"Electronic Markets","volume":null,"pages":null},"PeriodicalIF":7.1000,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronic Markets","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1007/s12525-023-00680-1","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
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.
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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