AI-driven gender discrimination is a new multifaced problem that has the potential to perpetuate and replicate outdated conception of gender roles that society is actively working to eliminate from the “real” world. This paper identifies gender inequalities resulting from the use of AI and investigates which role legislation, with particularly regard to the new AI Act, and corporate social responsibility (CSR) can play in addressing this issue. The results of this research underscore the necessity of a multifaceted approach to combat AI gender discrimination. Legislative measures are essential but may fall short in addressing the hidden biases present in AI systems. Policy measures and CSR initiatives are equally vital to complement regulatory efforts, ensuring that AI technologies are developed, implemented, and used without perpetuating gender-based discrimination. In a world increasingly reliant on AI, this holistic approach turns out to be crucial.

Addressing AI-driven gender discrimination: the role of the AI Act and Corporate Social Responsibility

Federica Fedorczyk
2023-01-01

Abstract

AI-driven gender discrimination is a new multifaced problem that has the potential to perpetuate and replicate outdated conception of gender roles that society is actively working to eliminate from the “real” world. This paper identifies gender inequalities resulting from the use of AI and investigates which role legislation, with particularly regard to the new AI Act, and corporate social responsibility (CSR) can play in addressing this issue. The results of this research underscore the necessity of a multifaceted approach to combat AI gender discrimination. Legislative measures are essential but may fall short in addressing the hidden biases present in AI systems. Policy measures and CSR initiatives are equally vital to complement regulatory efforts, ensuring that AI technologies are developed, implemented, and used without perpetuating gender-based discrimination. In a world increasingly reliant on AI, this holistic approach turns out to be crucial.
2023
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11382/559014
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