Description
Book SynopsisWith the advancement in processing power and storage now enabling algorithms to expand their capabilities beyond their initial narrow applications, technology is becoming increasingly powerful. This highly topical Handbook provides a comprehensive overview of the impact of Artificial Intelligence (AI) on work, assessing its effect on an array of economic sectors, the resulting nature of work, and the subsequent policy implications of these changes.
Featuring contributions from leading experts across diverse fields, the Handbook of Artificial Intelligence at Work takes an interdisciplinary approach to understanding AI’s connections to existing economic, social, and political ecosystems. Considering a range of fields including agriculture, manufacturing, health care, education, law and government, the Handbook provides detailed sector-specific analyses of how AI is changing the nature of work, the challenges it presents and the opportunities it creates. Looking forward, it makes policy recommendations to address concerns, such as the potential displacement of some human labor by AI and growth in inequality affecting those lacking the necessary skills to interact with these technologies or without opportunities to do so.
This vital Handbook is an essential read for students and academics in the fields of business and management, information technology, AI, and public policy. It will also be highly informative from a cross-disciplinary perspective for practitioners, as well as policy makers with an interest in the development of AI technology.
Table of ContentsContents: 1 Introduction to the Handbook of Artificial Intelligence at Work: Interconnections and Policy Implications 1 Martha Garcia-Murillo and Ian MacInnes PART I CONCEPTUALIZING THE HUMAN WITH THE MACHINE 2 The computer says no: how automated decision systems affect workers’ role perceptions in socio-technical systems 16 Sabine T. Koeszegi, Setareh Zafari, and Reinhard Grabler 3 Responsible AI at work: incorporating human values 32 Andreas Theodorou and Andrea Aler Tubella 4 AI-enabled business model and human-in-the-loop (deceptive AI): implications for labor 47 Uma Rani and Rishabh Kumar Dhir 5 Tools for crowdworkers coding data for AI 76 Saiph Savage and Martha Garcia-Murillo PART II SECTORAL USES, APPLICATIONS, CHALLENGES, AND OPPORTUNITIES 6 AI and the transformation of agricultural work: economic, social, and environmental implications 96 Andrea Renda 7 AI in manufacturing and the role of humans: processes, robots, and systems 119 Panagiotis Stavropoulos, Kosmas Alexopoulos, Sotiris Makris, Alexios Papacharalampopoulos, Steven Dhondt, and George Chryssolouris 8 Workers and AI in the construction and operation of civil infrastructures 142 Jinding Xing, Zhe Sun, and Pingbo Tang 9 AI-based technology in home-based care in aging societies: challenges and opportunities 166 Naoko Muramatsu, Miloš Žefran, Emily Stiehl, and Thomas Cornwell 10 Artificial intelligence for professional learning 191 Wayne Holmes and Allison Littlejohn 11 Smart automation in entrepreneurial finance: the use of AI in private markets 212 Francesco Corea 12 The artificial creatives: the rise of combinatorial creativity from DALL-E to GPT-3 225 Giancarlo Frosio 13 The judicial system and the work of judges and lawyers in the application of law and sanctions assisted by AI 250 Karim Benyekhlef and Jie Zhu 14 AI and national security 276 Saiph Savage, Gabriela Avila, Norma Elva Chávez, and Martha Garcia-Murillo 15 Governance, government records, and the policymaking process aided by AI 291 Andrea Renda PART III THE LABOR IMPLICATIONS OF ARTIFICIAL INTELLIGENCE AT WORK 16 Recurrent memes and technological fallacies 315 David Heatly and Bronwyn Howell 17 AI and income inequality: the danger of exacerbating existing trends toward polarization in the US workforce 338 Dan Sholler and Ian MacInnes 18 The impact of AI on contracts and unionisation 356 Michael Walker Index 371
