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Inferior: The Challenges of Gender Parity in the Artificial Intelligence Ecosystem-A Case for Canada

Artificial Intelligence (AI) systems are gaining momentum in complementing and/or replacing performing tasks typically done with the aid of human ability. AI systems, inherently human creations, are, however, beset by, wittingly or unwittingly, so-called male chauvinism, despite all the advancements...

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Detalles Bibliográficos
Autores principales: Daraz, Lubna, Chang, Bebe S., Bouseh, Sheila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295739/
https://www.ncbi.nlm.nih.gov/pubmed/35865270
http://dx.doi.org/10.3389/frai.2022.931182
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author Daraz, Lubna
Chang, Bebe S.
Bouseh, Sheila
author_facet Daraz, Lubna
Chang, Bebe S.
Bouseh, Sheila
author_sort Daraz, Lubna
collection PubMed
description Artificial Intelligence (AI) systems are gaining momentum in complementing and/or replacing performing tasks typically done with the aid of human ability. AI systems, inherently human creations, are, however, beset by, wittingly or unwittingly, so-called male chauvinism, despite all the advancements made in the progress of civilization to make inroads for women's equitable participation in the labor force, particularly in relation to the digital economy, and more importantly, AI. In regards to the Canadian context, this perspective has examined the evidence to find research highlighting gender representation in the Canadian AI ecosystem. We found a lack of studies on women and their contribution to AI-related activities. Canadian women's participation in their country's AI sector therefore should go beyond mere instruments such as the Montreal Declaration for a Responsible Development of AI, and disjointed interests. On a more general level, the paucity in a paradigm shift toward AI-female friendly policies from design phase to implementation omits the female voice for adequate representation for action. Advocating for Canadian women in the AI sector requires a voice of unison best achieved through parliamentary action. This perspective is thus issuing a clarion call to attaining gender fairness and equity, global principles under the United Nations (UN) Sustainable Development Goals, to which the Government of Canada is committed.
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spelling pubmed-92957392022-07-20 Inferior: The Challenges of Gender Parity in the Artificial Intelligence Ecosystem-A Case for Canada Daraz, Lubna Chang, Bebe S. Bouseh, Sheila Front Artif Intell Artificial Intelligence Artificial Intelligence (AI) systems are gaining momentum in complementing and/or replacing performing tasks typically done with the aid of human ability. AI systems, inherently human creations, are, however, beset by, wittingly or unwittingly, so-called male chauvinism, despite all the advancements made in the progress of civilization to make inroads for women's equitable participation in the labor force, particularly in relation to the digital economy, and more importantly, AI. In regards to the Canadian context, this perspective has examined the evidence to find research highlighting gender representation in the Canadian AI ecosystem. We found a lack of studies on women and their contribution to AI-related activities. Canadian women's participation in their country's AI sector therefore should go beyond mere instruments such as the Montreal Declaration for a Responsible Development of AI, and disjointed interests. On a more general level, the paucity in a paradigm shift toward AI-female friendly policies from design phase to implementation omits the female voice for adequate representation for action. Advocating for Canadian women in the AI sector requires a voice of unison best achieved through parliamentary action. This perspective is thus issuing a clarion call to attaining gender fairness and equity, global principles under the United Nations (UN) Sustainable Development Goals, to which the Government of Canada is committed. Frontiers Media S.A. 2022-07-01 /pmc/articles/PMC9295739/ /pubmed/35865270 http://dx.doi.org/10.3389/frai.2022.931182 Text en Copyright © 2022 Daraz, Chang and Bouseh. 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). 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 Artificial Intelligence
Daraz, Lubna
Chang, Bebe S.
Bouseh, Sheila
Inferior: The Challenges of Gender Parity in the Artificial Intelligence Ecosystem-A Case for Canada
title Inferior: The Challenges of Gender Parity in the Artificial Intelligence Ecosystem-A Case for Canada
title_full Inferior: The Challenges of Gender Parity in the Artificial Intelligence Ecosystem-A Case for Canada
title_fullStr Inferior: The Challenges of Gender Parity in the Artificial Intelligence Ecosystem-A Case for Canada
title_full_unstemmed Inferior: The Challenges of Gender Parity in the Artificial Intelligence Ecosystem-A Case for Canada
title_short Inferior: The Challenges of Gender Parity in the Artificial Intelligence Ecosystem-A Case for Canada
title_sort inferior: the challenges of gender parity in the artificial intelligence ecosystem-a case for canada
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9295739/
https://www.ncbi.nlm.nih.gov/pubmed/35865270
http://dx.doi.org/10.3389/frai.2022.931182
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