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Human-centered augmented translation: against antagonistic dualisms

O'Brien, Sharon orcid logoORCID: 0000-0003-4864-5986 (2023) Human-centered augmented translation: against antagonistic dualisms. Perspectives: Studies in Translation Theory and Practice . ISSN 0907-676X

Abstract
Industry commentators have recently proposed the concept of ‘augmented translation’. Drawing on the notions of ‘antagonistic dualisms’ and ‘human-centered artificial intelligence’ (HCAI), this paper considers various definitions of ‘augmentation’ from an augmented cognition standpoint including definitions focussing on problem-solving, interdisciplinary field theories, and cognition supported by sensing technologies and AI. It is suggested that translation has been an augmented activity for some decades now. However, according to other views of augmented cognition, the level of augmentation is low in comparison to what could theoretically be achieved if the sensing and technological mitigations envisaged for augmented cognition could be realised. Translation technology has not been driven by an empowerment or intelligence amplification (IA) agenda, but by an emulation and artificial intelligence (AI) agenda. The mechanisms, technical and ethical challenges of achieving augmented translation, beyond what is currently in place in translation tools, are tentatively explored. It is, in conclusion, suggested that the HCAI focus on intelligence amplification rather than on replacement of human ability, on a move from emulation to empowerment, is pointing the way forward.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Augmented cognition; translation; human centered artificial intelligence; translation technology; intelligence amplification
Subjects:Computer Science > Computational linguistics
Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Applied Language and Intercultural Studies
Publisher:Routledge (Taylor & Francis)
Official URL:https://doi.org/10.1080/0907676X.2023.2247423
Copyright Information:© 2023 Taylor & Francis
ID Code:29292
Deposited On:21 Dec 2023 13:24 by Vidatum Academic . Last Modified 21 Dec 2023 13:24
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