Human augmentation, not replacement: A research agenda for AI and robotics in the industry

Dégallier Rochat, Sarah; Kurpicz-Briki, Mascha; Endrissat, Nada; Yatsenko, Olena (2022). Human augmentation, not replacement: A research agenda for AI and robotics in the industry Frontiers in Robotics and AI, 9, p. 270. Frontiers Research Foundation 10.3389/frobt.2022.997386

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When talking about the threats of work automation through robotics and/or AI, the topic of human replacement is often the first to show up. If it is sometimes seen as something positive, it often revives the collective fear of people losing their jobs, a fear that has been continuously entertained through political discourse against immigration (Goldberg, 2015). The difference being that the threat is now machine that is thought to be much more productive than humans or, even, on the verge of becoming more intelligent than them: The so-called technology singularity (Kurzweil, 2005). In this position paper, we argue that the singularity myth has a negative influence on the current research agenda in artificial intelligence (AI) and robotics. Indeed, if complete human replacement is more a myth than a reality, new technologies are altering the way that we work, posing new challenges for the way we manage human-machine interactions, including work alienation, decision-making power and fairness that require attention. We call for greater attention to augmentation technologies that empower humans rather than mechanize and deskill them. We lay out the advantages of such a path, stressing that the industry can truly benefit from new technologies when human-machine complementarity is leveraged.

Item Type:

Journal Article (Original Article)

Division/Institute:

School of Engineering and Computer Science > Institute for Human Centered Engineering (HUCE)
School of Engineering and Computer Science > Institute for Human Centered Engineering (HUCE) > HUCE / Laboratory for Computer Perception and Virtual Reality
Business School > Institute for New Work > New Forms of Work and Organisation
School of Engineering and Computer Science > Institute for Data Applications and Security (IDAS) > IDAS / Applied Machine Intelligence
School of Engineering and Computer Science
Business School

Name:

Dégallier Rochat, Sarah0000-0002-2267-5768;
Kurpicz-Briki, Mascha;
Endrissat, Nada0000-0002-4758-8441 and
Yatsenko, Olena0000-0003-0584-933X

Subjects:

H Social Sciences > H Social Sciences (General)
T Technology > T Technology (General)

ISSN:

2296-9144

Publisher:

Frontiers Research Foundation

Projects:

Projects 2020 not found.

Language:

English

Submitter:

Sarah Dégallier Rochat

Date Deposited:

22 Nov 2022 10:04

Last Modified:

22 Nov 2022 10:04

Publisher DOI:

10.3389/frobt.2022.997386

Uncontrolled Keywords:

human-machine interaction, artificial intelligence, augmented intelligence, robotics, complementary cooperation

ARBOR DOI:

10.24451/arbor.18017

URI:

https://arbor.bfh.ch/id/eprint/18017

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