IADIS International Journal on Computer Science and Information Systems

Published by IADIS (International Association for Development of the Information Society) • ISSN (Online): 1646-3692 • ISSN (Print): 1646-3692
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State of Gender Equality in and by Artificial Intelligence

J. David PatĂłn-Romero *
Ricardo Vinuesa *
Letizia Jaccheri *
Maria Teresa Baldassarre *
* 1Department of Computer Science, Norwegian University of Science and Technology (NTNU) . Sem Sælands Vei 7, 7034 Trondheim, Norway 2Department of IT Management, S imula Metropolitan Center for Digital Engineering (SimulaMet) . Pilestredet 52, 0167 Oslo, Norway 3FLOW, Engineering Mechanics, KTH Royal Institute of Technology. SE-100 44 Stockholm, Sweden 4Department of Informatics, University of Bari “Aldo Moro” (UniBa). Via Edoardo Orabona, 4, 70126 Bari, Italy (Portugal)
* 1Department of Computer Science, Norwegian University of Science and Technology (NTNU) . Sem Sælands Vei 7, 7034 Trondheim, Norway 2Department of IT Management, S imula Metropolitan Center for Digital Engineering (SimulaMet) . Pilestredet 52, 0167 Oslo, Norway 3FLOW, Engineering Mechanics, KTH Royal Institute of Technology. SE-100 44 Stockholm, Sweden 4Department of Informatics, University of Bari “Aldo Moro” (UniBa). Via Edoardo Orabona, 4, 70126 Bari, Italy (Portugal)
* 1Department of Computer Science, Norwegian University of Science and Technology (NTNU) . Sem Sælands Vei 7, 7034 Trondheim, Norway 2Department of IT Management, S imula Metropolitan Center for Digital Engineering (SimulaMet) . Pilestredet 52, 0167 Oslo, Norway 3FLOW, Engineering Mechanics, KTH Royal Institute of Technology. SE-100 44 Stockholm, Sweden 4Department of Informatics, University of Bari “Aldo Moro” (UniBa). Via Edoardo Orabona, 4, 70126 Bari, Italy (Portugal)
* 1Department of Computer Science, Norwegian University of Science and Technology (NTNU) . Sem Sælands Vei 7, 7034 Trondheim, Norway 2Department of IT Management, S imula Metropolitan Center for Digital Engineering (SimulaMet) . Pilestredet 52, 0167 Oslo, Norway 3FLOW, Engineering Mechanics, KTH Royal Institute of Technology. SE-100 44 Stockholm, Sweden 4Department of Informatics, University of Bari “Aldo Moro” (UniBa). Via Edoardo Orabona, 4, 70126 Bari, Italy (Portugal)

Abstract

When talking about sustainability, we usually think that it is only about safeguarding the environment; nothing is further from reality. Of course, the environment is a crucial component of sustainability and our survival, but it is important to recall that the society and the economy play important roles in this regard, and without the interconnection and development of t hese three perspectives it will not be possible to achieve sustainable progress. The Sustainable Development Goals (SDGs) established by the United Nations (UN) defend this idea and address the main challenges that humanity faces. One of these challenges is gender equality, which is identified in the perspective of social sustainability through SDG 5. Gender equality is a very complex and difficult challenge to address due to the great cultural diversity of our society. Thus, achieving this goal will requir e laying a solid foundation and working together by combining very different fields of knowledge. In this sense, Artificial Intelligence (AI) is one of the fields that is currently having the greatest impact and relevance for the development of new technologies and for the advancement of numerous areas. This growing evolution of AI demonstrates that its repercussions at the social level must be analyzed and addressed in such a way that AI becomes a positive asset for sustainability and, in this particular case, for gender equality. For all these reasons, this study aims to analyze the current state of the art and collect the existing knowledge in the fields of AI and gender equality, by conducting a Systematic Mapping Study (SMS). The obtained results and findings have allowed us to identify the most relevant advances in this regard, as well as the gaps and drawbacks that currently exist and on which we must urgently focus to address gender equality both in and by AI. In the same way, these find ings demonstrate the limited joint development of both fields, but also indicate an increase in the relevance and the number of proposals that these fields are receiving in recent years.

Keywords

Computer Science Information Systems Software Engineering Artificial Intelligence IADIS Data Analytics
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Funding: This research received academic dissemination support through ESCAP / JournalsHub publishing programs.
Conflicts of Interest: The authors declare no competing financial or institutional interests.
Peer Review: Double-blind peer reviewed by international subject specialists.
License: Creative Commons Attribution 4.0 International (CC BY 4.0).
How to Cite This Article
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PatĂłn-Romero, et al. (2022). State of Gender Equality in and by Artificial Intelligence. IADIS International Journal on Computer Science and Information Systems, 17(2). https://doi.org/10.33965/ijcsis_2022_v17i2_04
PatĂłn-Romero, et al. "State of Gender Equality in and by Artificial Intelligence." IADIS International Journal on Computer Science and Information Systems, vol. 17, no. 2, 2022. https://doi.org/10.33965/ijcsis_2022_v17i2_04
PatĂłn-Romero, et al. "State of Gender Equality in and by Artificial Intelligence." IADIS International Journal on Computer Science and Information Systems 17, no. 2 (2022). https://doi.org/10.33965/ijcsis_2022_v17i2_04