2022
DOI: 10.1787/14e9b92c-en
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The Effects of AI on the Working Lives of Women

Abstract: The designations employed and the presentation of material throughout this publication do not imply the expression of any opinion whatsoever on the part of UNESCO, the OECD and IDB concerning the status, name, or sovereignty over any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries.Nomenclature is given according to the organization that is the source of the corresponding graph in this joint UNESO-OECD-IDB publication.

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Cited by 6 publications
(9 citation statements)
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References 60 publications
(95 reference statements)
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“…Despite these positive impacts, digital technologies have an environmental footprint, especially in lowdigital-intensive 4 sectors (Figure 5). While digital technologies such as AI and IoT can enable efficiency and more sustainable consumer choices, they also require computing and other resources along their lifecycle, which can use large amounts of energy, water, and other natural resources, and emit GHGs (UNEP, 2021 [52]). The training and use of large-scale AI systems require massive amounts of computing resources, with significant environmental footprints (OECD, 2022 [9]).…”
Section: Green Transition: Digital Technologies As Friend or Foe?mentioning
confidence: 99%
“…Despite these positive impacts, digital technologies have an environmental footprint, especially in lowdigital-intensive 4 sectors (Figure 5). While digital technologies such as AI and IoT can enable efficiency and more sustainable consumer choices, they also require computing and other resources along their lifecycle, which can use large amounts of energy, water, and other natural resources, and emit GHGs (UNEP, 2021 [52]). The training and use of large-scale AI systems require massive amounts of computing resources, with significant environmental footprints (OECD, 2022 [9]).…”
Section: Green Transition: Digital Technologies As Friend or Foe?mentioning
confidence: 99%
“… Policy implementation, including identifying challenges and good practices in areas commonly outlined in internationally agreed principles 7 , such as promoting inclusive growth and sustainable development; investing in R&D; fostering a digital ecosystem through competition and innovation; shaping an enabling policy environment, including via regulatory experimentation; and building human capacity to prepare for labour market transformation.…”
Section: Leveraging the Policy Cycle To Enable Governance Of Emerging...mentioning
confidence: 99%
“…Using data from Scopus 6. In this context, "tools" is an umbrella terms that covers almost anything that helps make AI more trustworthy, from computer software and programming code to employee workshops and training or guidelines and standards 7. Including the OECD AI Principles, the OECD recommendation on Broadband Connectivity and the OECD recommendation on Enhancing Access to and Sharing of Data.…”
mentioning
confidence: 99%
“…Il convient également de prendre en compte les disparités existant entre les catégories sociales et entre les sexes. À titre d'exemple, la proportion de femmes parmi les auteurs ou co-auteurs de publications sur l'IA est inférieure à 20 % dans la plupart des pays5 .Il faut disposer de meilleurs outils6 de collecte de données pour prendre des décisions éclairées sur la manière de gouverner l'IA, autrement dit pour définir les types de systèmes ou les cas d'utilisation à Compte tenu de la vitesse d'évolution et de la complexité technique de l'IA, la mise en oeuvre d'une IA et de technologies émergentes dignes de confiance requiert une collaboration étroite, structurée et continue des entreprises et des décideurs. Les normes de gouvernance des entreprises et les codes de conduites sectoriels peuvent fournir des orientations utiles.…”
unclassified
“…D'après des données de GitHub 5. D'après des données de Scopus 6. Dans ce contexte, « outils » est un terme générique qui recouvre à peu près tout ce qui contribue à rendre l'IA plus digne de confiance : il peut s'agir de logiciels ou de langages de programmation, mais aussi d'ateliers et de formations à l'intention des employés, ou de lignes directrices et de normes.7 Principes de l'OCDE sur l'IA, Recommandation de l'OCDE sur la connectivité à haut débit et Recommandation de l'OCDE sur l'amélioration de l'accès aux données et de leur partage.…”
unclassified