Hardback
Handbook of Artificial Intelligence at Work
Interconnections and Policy Implications
9781800889965 Edward Elgar Publishing
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.
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Contributors
Contents
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With 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.
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.
Contributors
Contributors include: Gabriela Avila, Karim Benyekhlef, Norma Elva Chávez, George Chryssolouris, Francesco Corea, Thomas Cornwell, Rishabh Kumar Dhir, Giancarlo Frosio, Martha Garcia-Murillo, Reinhard Grabler, David Heatly, Wayne Holmes, Bronwyn Howell, Sabine T. Koeszegi, Allison Littlejohn, Ian MacInnes, Naoko Muramatsu, Uma Rani, Andrea Renda, Saiph Savage, Dan Sholler, Panagiotis Stavropoulos, Emily Stiehl, Zhe Sun, Pingbo Tang, Andreas Theodorou, Andrea Aler Tubella, Michael Walker, Jinding Xing, Setareh Zafari, Miloš Žefran, Jie Zhu
Contents
Contents:
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
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
