In-depth analysis of AI bias and gender inequality.
Key findings and peer-reviewed studies on algorithmic systems.
This article offers a comprehensive examination of the potential effects of artificial intelligence (AI) on gender inequality. It explores how AI influences workforce dynamics, educational access, and caregiving responsibilities, while providing policy recommendations to promote diversity, establish ethical guidelines, and bridge the gender gap in technology.
This review investigates how systemic gender biases are embedded in AI applications across recruitment, healthcare, and financial services. It identifies the under-representation of women in development and biased training datasets as key drivers of inequality, and proposes digital literacy as a transformative tool for fostering critical awareness and achieving gender equity in technology.