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2023 | Buch

Overview of ChatGPT, Web3, and New Business Landscape Kapitel lesen Erstes Kapitel lesen

Beyond AI

ChatGPT, Web3, and the Business Landscape of Tomorrow

herausgegeben von: Ken Huang, Yang Wang, Feng Zhu, Xi Chen, Chunxiao Xing

Verlag: Springer Nature Switzerland

Buchreihe : Future of Business and Finance

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business operations. It covers the potential impact surpassing prior industrial revolutions.

After providing an overview of GenAI, ChatGPT, and Web3, it investigates business applications in various industries and areas, such as product management, finance, real estate, gaming, and government, highlighting value creation and operational revolution through their integration. It also explores their impact on content generation, customer service, personalization, and data analysis and examines how the technologies can enhance content quality, customer experiences, sales, revenue, and resource efficiency. Moreover, it addresses security, privacy, and ethics concerns, emphasizing the responsible implementation of ChatGPT and Web3.

Written by experts in this field, this book is aimed at business leaders, entrepreneurs, students, investors, and professionals who are seeking insights into ChatGPT, ChatGPT Plug-in, GPT-based autonomous agents, and the integration of Gen AI and Web3 in business applications.

Inhaltsverzeichnis

Frontmatter

Part I

Frontmatter
Chapter 1. Overview of ChatGPT, Web3, and New Business Landscape
Abstract
This chapter explores generative artificial intelligence (GenAI), its killer app ChatGPT, and the emerging Web3 paradigm. It elucidates how these technologies are revolutionizing the business landscape, driven by key players and facilitated by significant advancements in computational power and data availability. It discusses why GenAI is increasingly crucial in the current era of personalization and how it fits into the broader digital transformation. The chapter also navigates through the various applications and challenges of GenAI, painting a picture of its potential and the hurdles to overcome. It concludes with a futuristic outlook, underlining the significance of Web3 and the integration of GenAI within this new framework. This chapter serves as a way to understand the complex interplay of GenAI, ChatGPT, and Web3, and their collective impact on the future of business and technology.
Ken Huang, Anita Xie
Chapter 2. ChatGPT: Inside and Impact on Business Automation
Abstract
This chapter delves into the underpinnings of ChatGPT and generative AI, examining machine learning, neural networks, and their architectures, including CNNs, RNNs, and LSTMs. It explores generative AI’s potential to create new data instances that mirror the training data, with applications extending from text to image synthesis. The chapter highlights key technologies driving ChatGPT, including the transformative Transformer architecture and language model creation techniques. We also evaluate pivotal research papers in the GPT series that have significantly contributed to AI advancements. The chapter concludes with an analysis of ChatGPT’s implications for business automation, providing insights into the evolving landscape of AI-driven automation and strategic preparations for business leaders.
Ken Huang, Chunxiao Xing

Part II

Frontmatter
Chapter 3. ChatGPT and Web3 Applications
Abstract
This chapter discusses the synergistic intersection of ChatGPT and Web3 applications, exploring the transformative potential and challenges within this emerging digital landscape. We first introduce Web3 and decentralized networks, detailing ChatGPT’s pivotal role in these applications. The chapter further illustrates how ChatGPT can invigorate decentralized applications (dApps), decentralized finance (DeFi) platforms, and digital asset management. We explore how the Web3 ecosystem can be leveraged to revolutionize AI data governance, model validation, and the democratization of computational power in ChatGPT applications. We also examine the role of tokenization and ChatGPT in incentivizing user engagement, governing applications, and devising novel monetization strategies. As we anticipate future technological advancements, the chapter underscores the importance of interdisciplinary collaboration and robust integration strategies for navigating the evolving AI and decentralized technology landscape. This analysis aids businesses in harnessing next-gen AI technology in a decentralized ecosystem.
Ken Huang, Yang Wang, Ben Goertzel, Toufi Saliba
Chapter 4. ChatGPT in Product Management
Abstract
In this chapter, we explore the role of ChatGPT in product management, discussing how this next-gen AI technology is revolutionizing various aspects of the field. We will delve into the different stages of the product life cycle and examine how ChatGPT can be effectively utilized to improve decision-making, communication, and overall efficiency. While acknowledging the limitations of the technology, we will highlight the potential benefits and real-world applications of ChatGPT in product management.
Grace Huang, Ken Huang
Chapter 5. ChatGPT and Gig Economy
Abstract
Chapter 5 probes the role of ChatGPT within the gig economy, illustrating how this AI tool can revolutionize various aspects of freelance work and gig platforms. We explore how ChatGPT can enhance user experiences on gig platforms, facilitate recruitment and onboarding, and streamline project management. We also delve into the benefits for freelancers, where ChatGPT can serve as a virtual assistant, augment productivity, and foster networking. The chapter discusses ChatGPT’s potential in personalized learning, career guidance, and skill gap analysis, essential for continual skill development in the gig economy. Additionally, we address its applications in financial management and legal realms, assisting with tasks from budgeting to contract review. The intriguing potential of integrating ChatGPT with Web3 is also examined, discussing how it can optimize job matching, enhance gig worker support, and promote fairness. Finally, we contemplate the future of ChatGPT in the gig economy, addressing potential limitations, ethical considerations, and anticipated trends, providing a comprehensive understanding of ChatGPT’s transformative potential in this burgeoning sector.
Ken Huang, Feng Zhu
Chapter 6. ChatGPT in Nutrition Science
Abstract
Nutrition science studies how nutrients affect health. Generative AI (GenAI) applications, like ChatGPT, can personalize nutrition recommendations considering individual data. It can also help create new nutrition products and identify dietary patterns related to health outcomes. When combined with Web3 technologies, GenAI offers fresh solutions to ongoing challenges in nutrition science.
Ken Huang, Yuyan (Lynn) Duan
Chapter 7. ChatGPT in Finance and Banking
Abstract
This chapter highlights the impactful role of ChatGPT in the finance and banking sector. We examine how ChatGPT can streamline operational processes, enhance fraud detection, and personalize financial services. We further discuss its transformative potential in customer service, providing 24/7 support, tailored financial advice, and multilingual assistance. The chapter also explores how ChatGPT can aid in risk assessment, portfolio optimization, and predictive analytics. We further discuss the intersection of ChatGPT and decentralized finance (DeFi), covering automation, security, and financial inclusion. The chapter also addresses security and privacy considerations, outlining strategies to ensure data protection, mitigate adversarial attacks, and enable continuous monitoring. Lastly, we gaze into the future, exploring emerging technologies, ethical considerations, workforce adaptation, and a maturity framework for AI adoption within financial institutions. This comprehensive exploration sets the stage for a new era of AI-driven innovation in the financial sector.
Ken Huang, Xi Chen, Youwei Yang, Jyoti Ponnapalli, Grace Huang
Chapter 8. ChatGPT in Real Estate
Abstract
Chapter 8 of this book delves into the transformative potential of AI, particularly the generative AI model ChatGPT, in the real estate sector. The chapter begins by exploring the various ways in which AI is enhancing user experiences, streamlining processes, and fostering innovative solutions in real estate. It further elaborates on the specific applications of ChatGPT in the industry, including property listing and search, customer service, marketing, legal support, home staging, investment analysis, appraisal, home inspection, and property management.
However, the incorporation of AI and ChatGPT in real estate does pose certain challenges, which the chapter also addresses. These encompass issues related to data quality and bias, the need for transparency and privacy in handling real estate data, the balance between automation and human intervention, integration with existing real estate systems, and data storage and management.
The chapter concludes with an exploration of the synergy between ChatGPT and Web3 in reimagining the real estate sector. It elucidates the intersection of AI and blockchain in real estate, presents potential use cases, and discusses the strategies to overcome related challenges. The final discussion points towards the future, stressing the need for real estate professionals to adapt to a landscape where AI and blockchain become integral parts of the business model.
Juehui Ma, Ken Huang
Chapter 9. ChatGPT in Gaming Industry
Abstract
This chapter explores the transformative potential of ChatGPT and related technologies in reshaping the gaming industry. We introduce ChatGPT’s role in amplifying player engagement and enhancing gaming experiences, discussing its integration into games, customization possibilities, and performance considerations. Examples of its applications, illustrated via Unity pseudo code, include enriched NPC interactions, procedural storytelling, and user-generated content. We also address the challenges and limitations, encompassing ethical considerations, technical constraints, and the delicate balance between realism and gameplay. Looking ahead, we probe into the future of gaming, where advancements in ChatGPT and related technologies promise to revolutionize game narratives, interactions, and development processes. We underscore the potential of the synergistic integration of ChatGPT and Web3 technologies, assuming the scalability of blockchain in terms of performance and storage, to redefine the gaming landscape. This integration is expected to provide innovative solutions that could significantly enhance game development and player experiences, and transform the gaming ecosystem.
Jerry Huang, Ken Huang
Chapter 10. ChatGPT in Government
Abstract
This chapter explores the transformative potential of ChatGPT and Web3 in the realm of government services. Notwithstanding the slower pace of adoption compared to sectors like finance and education, the impact of these innovative technologies on public administration can be substantial. The chapter offers a detailed overview of how ChatGPT can enhance citizen engagement, streamline administrative processes, aid in policy development and analysis, and encourage inter-agency collaboration. It discusses potential applications, such as improving governmental communication, automating mundane tasks, and identifying policy trends. Equally important, the chapter addresses the ethical challenges that come with the use of AI in government, including data privacy, security, transparency, and the necessity of maintaining public trust. Moreover, the chapter introduces the exciting possibility of integrating ChatGPT with Web3 to revolutionize government services like citizen services, tax filing, and voting processes. This prospective examination underscores the future potentialities of these technologies, serving as an insightful guide for governments intending to leverage AI and blockchain technologies to improve their citizen services.
Jerry Huang, Ken Huang

Part III

Frontmatter
Chapter 11. Security and Privacy Concerns in ChatGPT
Abstract
This chapter provides a comprehensive analysis of the security and privacy concerns in AI models, specifically ChatGPT. It explores potential security threats such as cyberattacks, deep fake creation, model poisoning, API, and prompt injection attacks. Privacy issues, including data leakage, misuse, and unauthorized access, are investigated. User perspectives, including public trust issues, privacy demands, and the need for balancing security with innovation, are also assessed. The chapter concludes by proposing mitigation strategies for these concerns. These involve safeguards against security risks, mitigation measures for deepfakes and model poison attacks, and steps to counter API and prompt injection attacks. Furthermore, it suggests techniques for addressing privacy concerns and strategies to prevent data leakage and unauthorized access.
Ken Huang, Fan Zhang, Yale Li, Sean Wright, Vasan Kidambi, Vishwas Manral
Chapter 12. Legal and Ethics Responsibility of ChatGPT
Abstract
The meteoric rise of GenAI applications like ChatGPT has sparked intense discussions around the technology’s legal and ethical implications. As these powerful AI systems are increasingly integrated across various domains, it is crucial that we thoroughly examine the associated legal and ethical challenges. This chapter provides a timely analysis of the key legal considerations surrounding intellectual property, liability, and privacy when deploying ChatGPT applications. Additionally, it delves into pivotal ethical issues, including transparency, accountability, unintended harms, and human values alignment. While focusing on ChatGPT as an illustrative example of GenAI applications, the discussions apply broadly to any similar model or application. By comprehensively exploring emerging legal and ethical dimensions, this chapter aims to promote responsible AI innovation that fosters trust and broader societal benefit. The dynamic policy landscape regarding AI is also analyzed across diverse global jurisdictions. Overall, as generative AI progresses at an unprecedented pace, paying close attention to shifting legal and ethical dimensions will be indispensable for sustainable and ethical technological advancement.
Ken Huang, Winston Ma
Backmatter
Metadaten
Titel
Beyond AI
herausgegeben von
Ken Huang
Yang Wang
Feng Zhu
Xi Chen
Chunxiao Xing
Copyright-Jahr
2023
Electronic ISBN
978-3-031-45282-6
Print ISBN
978-3-031-45281-9
DOI
https://doi.org/10.1007/978-3-031-45282-6

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