Artificial intelligence (AI) is rapidly transforming the financial sector, but there is a notable lack of research on the integration of gender perspectives in AI financial applications. This systematic literature review, conducted using the PRISMA methodology, examines existing studies and identifies three primary areas of focus: innovation, regulation, and decision-making. Despite the insights provided by these areas, the review reveals a significant gap in addressing gender considerations in the development and deployment of AI technologies in finance. The study highlights the need for further research to incorporate gender perspectives into these key areas, ensuring the creation of more inclusive and sustainable AI financial applications. Future work should aim to bridge this gap, fostering AI advancements that are equitable and beneficial for all members of society.

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Gender Permeability in Artificial Intelligence in Finance: A Systematic Review

  • Joysiane Monroy-Tepepa,
  • Laura Sanz-Martín,
  • Manal Jammal

摘要

Artificial intelligence (AI) is rapidly transforming the financial sector, but there is a notable lack of research on the integration of gender perspectives in AI financial applications. This systematic literature review, conducted using the PRISMA methodology, examines existing studies and identifies three primary areas of focus: innovation, regulation, and decision-making. Despite the insights provided by these areas, the review reveals a significant gap in addressing gender considerations in the development and deployment of AI technologies in finance. The study highlights the need for further research to incorporate gender perspectives into these key areas, ensuring the creation of more inclusive and sustainable AI financial applications. Future work should aim to bridge this gap, fostering AI advancements that are equitable and beneficial for all members of society.