Artificial Intelligence and Feminist Ethics: Evaluating Firdaus’ Moral Choices in Woman at Point Zero Through AI-Driven Moral Judgments

Authors

  • Dr Nusrat Jamal Arshad Assistant Professor, Department of English, Jazan University, Kingdom of Saudi Arabia Author

Keywords:

Feminist ethics, Nawal El Saadawi, Woman at point zero, intersectional justice, artificial intelligence, gendered violence

Abstract

This study explores the intersection of artificial intelligence (AI) ethics and feminist moral theory, examining attentively the narrative of Firdaus, the main character in Nawal El Saadawi’s book Woman at Point Zero. Living through poverty, violence, and patriarchal tyranny, Firdaus kills a pimp who tried to subjugate her in a last act of protest. The paper looks at how artificial intelligence systems based on utilitarianism, deontology, and virtual ethics of care would judge her decision, often missing the background of gendered violence. Feminist perspectives, particularly Carol Gilligan's ethics of care and intersectional justice theories, feminist viewpoints present a quite different moral lens—one that emphasises connections, autonomy, and resistance to systematic injustice. By integrating literary analysis, real-world AI case studies, and feminist critique, the study exposes how often artificial intelligence condemns behaviours like Firdaus' while feminist ethics view them as morally justified. It emphasises how present artificial intelligence systems ignore the reality of oppression and the complexity of human resistance, so they fail. In response, the article offers a fresh, feminist-informed paradigm for AI morality that stresses fairness, context, and compassion. In the end, it demands moral algorithms that honour the voices and hardships of underprivileged groups.

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Published

2025-06-11

Data Availability Statement

Not Applicable

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How to Cite

Artificial Intelligence and Feminist Ethics: Evaluating Firdaus’ Moral Choices in Woman at Point Zero Through AI-Driven Moral Judgments. (2025). Synergy: International Journal of Multidisciplinary Studies, 2(2), 32-43. https://doi.org/10.63960/SIJMDS-2025-2253

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