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Leveraging the potential of synthetic text for AI in mental healthcare

In today’s world it seems fair to say that extensive digital data sharing is the price we pay for the technological advances we have seen achieved as a result of AI systems analysing large quantities of data in a relatively short time. Where such AI is used in the realm of mental health, this data s...

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Autor principal: Ive, Julia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637610/
https://www.ncbi.nlm.nih.gov/pubmed/36352890
http://dx.doi.org/10.3389/fdgth.2022.1010202
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author Ive, Julia
author_facet Ive, Julia
author_sort Ive, Julia
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description In today’s world it seems fair to say that extensive digital data sharing is the price we pay for the technological advances we have seen achieved as a result of AI systems analysing large quantities of data in a relatively short time. Where such AI is used in the realm of mental health, this data sharing poses additional challenges not just due to the sensitive nature of the data itself but also the potential vulnerability of the data donors themselves should there be a cybersecurity data breach. To address the problem, the AI community proposes to use synthetic text preserving only the salient properties of the original. Such text has potential to fill gaps in the textual data availability (e.g., rare conditions or under-represented groups) while reducing exposure. Our perspective piece is aimed to demystify the process of generating synthetic text, explain its algorithmic and ethical challenges, especially for the mental health domain, as well as most promising ways of overcoming them. We aim to promote better understanding and as a result acceptability of synthetic text outside the research community.
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spelling pubmed-96376102022-11-08 Leveraging the potential of synthetic text for AI in mental healthcare Ive, Julia Front Digit Health Digital Health In today’s world it seems fair to say that extensive digital data sharing is the price we pay for the technological advances we have seen achieved as a result of AI systems analysing large quantities of data in a relatively short time. Where such AI is used in the realm of mental health, this data sharing poses additional challenges not just due to the sensitive nature of the data itself but also the potential vulnerability of the data donors themselves should there be a cybersecurity data breach. To address the problem, the AI community proposes to use synthetic text preserving only the salient properties of the original. Such text has potential to fill gaps in the textual data availability (e.g., rare conditions or under-represented groups) while reducing exposure. Our perspective piece is aimed to demystify the process of generating synthetic text, explain its algorithmic and ethical challenges, especially for the mental health domain, as well as most promising ways of overcoming them. We aim to promote better understanding and as a result acceptability of synthetic text outside the research community. Frontiers Media S.A. 2022-10-24 /pmc/articles/PMC9637610/ /pubmed/36352890 http://dx.doi.org/10.3389/fdgth.2022.1010202 Text en © 2022 Ive. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Digital Health
Ive, Julia
Leveraging the potential of synthetic text for AI in mental healthcare
title Leveraging the potential of synthetic text for AI in mental healthcare
title_full Leveraging the potential of synthetic text for AI in mental healthcare
title_fullStr Leveraging the potential of synthetic text for AI in mental healthcare
title_full_unstemmed Leveraging the potential of synthetic text for AI in mental healthcare
title_short Leveraging the potential of synthetic text for AI in mental healthcare
title_sort leveraging the potential of synthetic text for ai in mental healthcare
topic Digital Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9637610/
https://www.ncbi.nlm.nih.gov/pubmed/36352890
http://dx.doi.org/10.3389/fdgth.2022.1010202
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