Ethical considerations on the use of machine translation and crowdsourcing in cascading crises
Parra Escartín, CarlaORCID: 0000-0002-8412-1525 and Moniz, Helena
(2019)
Ethical considerations on the use of machine translation and crowdsourcing in cascading crises.
In: Federici, Federico MORCID: 0000-0002-0057-0340 and O'Brien, SharonORCID: 0000-0003-4864-5986, (eds.)
Translation in Cascading Crises.
Routledge (Taylor & Francis), London.
ISBN 9781138363502
When a sudden-onset emergency occurs, the language needs of those affected
and those involved in the relief efforts cannot be foreseen. Provided that access to
online communication is still available, it is not unlikely that many involved in
the crisis will resort to language technologies such as machine translation and
initiatives such as crowdsourcing to assist in the urgent need for multilingual
communication. This may be done in an attempt to understand the key messages
from official bodies, or relief organisations, when there is a lack of professional
translators to assist in the multilingual communication process. This approach -
machine translation and crowdsourcing - was successfully used in a previous
crisis, i.e. the 2010 earthquake in Haiti. However, the use of technologies cannot
be taken for granted. Even if they are supposedly used for good, a number of
ethical issues should be given consideration before using these technologies,
when using them, and in the aftermath of a crisis. In this chapter, we describe
those issues by having a closer look at potential crisis translation workflows
which rely on machine translation and crowdsourcing.
This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:
European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 713567, Science Foundation Ireland in the ADAPT Centre (Grant 13/RC/2106), European Union’s Horizon 2020 Research and Innovation program and the Marie Skłodowska-Curie Actions (Grant No. 734211), FCT post-doctoral grant SFRH/BPD/95849/2013
ID Code:
24318
Deposited On:
03 Apr 2020 10:53 by
Alessandra Rossetti
. Last Modified 17 Jan 2023 13:24