Artificial Intelligence and the Future of Work

2020 ◽  
pp. 57-88
Author(s):  
Salima Benhamou
Keyword(s):  
Artificial Intelligence ◽  
Future Of Work ◽  
The Future

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

Stepping back to move forward: Centering capital in discussions of technology and the future of work

2020 ◽  
Vol 5 (3-4) ◽  
pp. 129-133
Author(s):  
Benjamin Shestakofsky
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Technological Development ◽  
Structural Features ◽  
Robotic Systems ◽  
Future Of Work ◽  
Technological Unemployment ◽  
The Future ◽  
Constructivist Approaches ◽  
The Relationship

Some researchers have warned that advances in artificial intelligence will increasingly allow employers to substitute human workers with software and robotic systems, heralding an impending wave of technological unemployment. By attending to the particular contexts in which new technologies are developed and implemented, others have revealed that there is nothing inevitable about the future of work, and that there is instead the potential for a diversity of models for organizing the relationship between work and artificial intelligence. Although these social constructivist approaches allow researchers to identify sources of contingency in technological outcomes, they are less useful in explaining how aims and outcomes can converge across diverse settings. In this essay, I make the case that researchers of work and technology should endeavor to link the outcomes of artificial intelligence systems not only to their immediate environments but also to less visible—but nevertheless deeply influential—structural features of societies. I demonstrate the utility of this approach by elaborating on how finance capital structures technology choices in the workplace. I argue that investigating how the structure of ownership influences a firm’s technology choices can open our eyes to alternative models and politics of technological development, improving our understanding of how to make innovation work for everyone instead of allowing the benefits generated by technological change to be hoarded by a select few.

scholarly journals DESIGNING THE FUTURE OF WORK WITH SOCIAL ENTERPRISES IN ASIA

2019 ◽  
Author(s):  
Sebastian Edward Goenadi
Keyword(s):  
Artificial Intelligence ◽  
Consumer Goods ◽  
Social Enterprises ◽  
Facilities Management ◽  
Business Systems ◽  
Future Of Work ◽  
Routine Work ◽  
The Future ◽  
And Robotics ◽  
New System

Social enterprises exist in nearly every sector from consumer goods to healthcare, community energy to creative agencies, restaurants to facilities management. Well known examples include The Big Issue, Divine Chocolate and the Eden Project but there are over 100,000 social enterprises throughout the country contributing £60 billion to the economy and employing two million people. In designing the future of work, we need to know the challenges and obstacles that we must face in order for us to design the future itself. Because nowadays business uses technology and technology can be disruptive to the old business systems. It can wreck the old system apart and set a new system based on the up to date technology on top of the old one. Those business in today’s world uses Artificial Intelligence (AI) and robotics to do the routine work of humans inside the business and companies. There are 4 stages in technology disruption that you also need to know about.

scholarly journals Artificial intelligence and the future of work – lessons from the sociology of expectations

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lilla Vicsek
Keyword(s):  
Artificial Intelligence ◽  
Policy Development ◽  
Role Expectations ◽  
Content Type ◽  
Alternative Pathways ◽  
Future Of Work ◽  
Sociology Of Expectations ◽  
The Future ◽  
Practical Implications

PurposeWhat is the future of work going to look like? The aim of this paper is to show how the sociology of expectations (SE) – which deals with the power of visions – can make important contributions in terms of thinking about this issue by critically evaluating the dominant expert positions related to the future-of-employment- and artificial intelligence (AI) debate.Design/methodology/approachAfter providing a literature review regarding SE, an approach based on the latter is applied to interpret the dominant ideal-type expert positions in the future of work debate to illustrate the value of this perspective.FindingsDominant future scripts can be characterized by a focus on the effects of AI technology that give agency to technology and to the future, involve the hype of expectations with polarized frames, and obscure uncertainty. It is argued that these expectations can have significant consequences. They contribute to the closing off of alternative pathways to the future by making some conversations possible, while hindering others. In order to advance understanding, more sophisticated theorizing is needed which goes beyond these positions and which takes uncertainty and the mutual shaping of technology and society into account – including the role expectations play.Research limitations/implicationsThe study asserts that the dominant positions contain problematic assumptions. It makes suggestions for helping move beyond these current framings of the debate theoretically. It also argues that scenario building and backcasting are two tools that could help move forward thinking about the future of work – especially if this is done in a way so as to build strongly on SE.Practical implicationsThe arguments presented herein enhance sense-making in relation to the future-of-work debate, and can contribute to policy development.Originality/valueThere is a lack of adequate exploration of the role of visions related to AI and their consequences. This paper attempts to address this gap by applying an SE approach and emphasizing the performative force of visions.

scholarly journals Future-proof: preparing young Canadians for the future of work

2021 ◽  
Author(s):  
Creig Lamb ◽  
Sarah Doyle
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Economic Growth ◽  
Labour Force ◽  
Resource Scarcity ◽  
Technology And Innovation ◽  
Future Of Work ◽  
The Future ◽  
Demographic Shifts ◽  
And Robotics

There are a number of major trends that have the potential to shape the future of work, from climate change and resource scarcity to demographic shifts resulting from an aging population and immigration. This report focuses on the need to prepare Canada’s youth for a future where a great number of jobs will be rapidly created, altered or made obsolete by technology. Successive waves of technological advancements have rocked global economies for centuries, reconfiguring the labour force and giving rise to new economic opportunities with each wave. Modern advances, including artificial intelligence and robotics, once again have the potential to transform the economy, perhaps more rapidly and more dramatically than ever before. As past pillars of Canada’s economic growth become less reliable, harnessing technology and innovation will become increasingly important in driving productivity and growth.

Editorial for the Special Section on Humans, Algorithms, and Augmented Intelligence: The Future of Work, Organizations, and Society

2021 ◽  
Vol 32 (3) ◽  
pp. 675-687
Author(s):  
Hemant Jain ◽  
Balaji Padmanabhan ◽  
Paul A. Pavlou ◽  
T. S. Raghu
Keyword(s):  
Artificial Intelligence ◽  
Special Section ◽  
Human Intelligence ◽  
Work Organizations ◽  
Research Directions ◽  
Research Issues ◽  
Future Of Work ◽  
The Future ◽  
Recent Developments ◽  
Working Together

Recent developments in artificial intelligence (AI) have increased interest in combining AI with human intelligence to develop superior systems that augment human and artificial intelligence. In this paper, augmented intelligence informally means computers and humans working together, by design, to enhance one another, such that the intelligence of the resulting system improves. Intelligence augmentation (IA) can pool the joint intelligence of humans and computers to transform individual work, organizations, and society. Notably, applications of IA are beginning to emerge in several domains, such as cybersecurity, privacy, counterterrorism, and healthcare, among others. We provide a brief summary of papers in this special section that represent early attempts to address some of the rapidly emerging research issues. We also present a framework to guide research on IA and advocate for the important implications of IA for the future of work, organizations, and society. We conclude by outlining promising research directions based on this framework for the information systems and related disciplines.

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