An experiment involving chatbots like ChatGPT, Claude, and Gemini revealed how AI systems perpetuate traditional gender roles in domestic responsibilities.

When asked to assign tasks like cooking, cleaning, childcare, and financial planning to a married couple, the models displayed varying degrees of bias.ChatGPT followed a traditional split, placing cooking and financial planning with the husband while assigning cleaning and childcare to the wife.

Claude avoided gender labels entirely by using neutral terms like 'Person A' and 'Person B,' which reduced the risk of reinforcing stereotypes.

Gemini took a more progressive approach by assigning both cooking and childcare to the husband, while keeping cleaning and financial planning with the wife.However, all models still divided tasks along gender lines rather than questioning why certain roles are assigned exclusively to one partner.The study highlights how AI systems learn from human language, which carries centuries of cultural assumptions about gender roles.While some models attempted to challenge stereotypes, others subtly reinforced them by defaulting to traditional patterns.This raises concerns about the role of AI in perpetuating societal biases and the need for developers to address these issues proactively.