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Research . 2023
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Research . 2023
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Other literature type . 2023
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Reframing Automation - a new model for anticipating risks and impacts

Authors: Gilbert, Abigail;

Reframing Automation - a new model for anticipating risks and impacts

Abstract

We are living through the greatest technological transition since industrialisation, with automation precipitating major transformations in the nature and experience of work. For policymakers to craft a fairer future of better work through this transition, they need to understand the different impacts that automation can have, and how these impacts structure different types of risk, in different circumstances, for different groups. In this paper, automation is presented as a process comprising choices made during design, development and deployment of technology. In this regard, while the deployment of technology within firms is most significant, we recognise that aspects of system design which shape impacts are decided before a firm puts them into use. We argue that, rather than outcomes of technology being predetermined, choices made during each of these stages are conditioned by ideas. Ideas shape what we optimise for, and approach to value creation, and in turn specific impacts. While there are risks relating to changing access to or availability of work, linked to the conventionally perceived threat of ‘displacement’ so too can automation affect quality and conditions of work in significant ways, with different outcomes for different groups. By considering automation as a series of decisions which can lead to different types of work transformation, we aim to identify a wider range of intervention points to steer innovation towards beneficial social outcomes, such as a fairer future through better work.

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Keywords

Automation, Technology

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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