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Full Description
This timely book explores how generative artificial intelligence (GAI) is developing and diffusing, highlighting the diverse impacts this technology is likely to have on economies and societies. It also examines the effects on and the responses of industries where GAI has been the most pervasive.
Nir Kshetri's multidisciplinary investigation documents the key concepts and current state of GAI and analyzes its impact on individuals, markets, and nations. He identifies the drivers and obstacles for the wider adoption of GAI, such as governance, cybersecurity and privacy issues, deriving insights from successful GAI implementations, such as ChatGPT and other large language models. Kshetri goes on to offer recommendations for the best practices to yield benefits for both individuals and organizations, outlining the broad impact of GAI across diverse sectors and discussing its implications for policy and business strategies. The book underscores the transformative potential of GAI while addressing ethical, environmental, and labor-related challenges in its implementation.
The Rise of Generative Artificial Intelligence is an indispensable tool for students and researchers across business, economics, finance, management, innovation and technology. It will also be an important reference for advisors and policymakers in the sectors affected by GAI, such as the academic, e-commerce and finance industries.
Contents
Contents
PART I OVERVIEW AND BACKGROUND OF GAI
1 Key underlying concepts and developments 3
2 The current state of the generative artificial intelligence industry and market 28
PART II IMPACTS ON KEY INDUSTRIES
3 The academic industry 57
4 The financial services industry 86
5 The e-commerce industry 114
PART III ORGANIZATIONAL TRANSFORMATION
6 Human resource management 141
7 Marketing and sales 167
PART IV GLOBAL AND INTERNATIONAL ISSUES
8 Generative artificial intelligence with Chinese characteristics 193
9 Diffusion and impact in the Global South 215
PART V LESSONS LEARNED, OPPORTUNITIES, CHALLENGES, AND THE WAY FORWARD
10 Governance issues 237
11 Cybersecurity and privacy issues 267
12 Conclusions and strategies for democratizing AI accessibility, enhancing productivity, stimulating economic connections, and guiding policy development 289
