In today's rapidly evolving digital landscape, Natural Language Processing (NLP) and Large Language Models (LLMs) have become integral to many sectors, influencing everything from search engines and social media to customer service and recruitment processes. However, these technologies are not without their challenges. This session explores how these advanced AI systems both contribute to and combat gender bias. This session delves into how biases are encoded in language models, the consequences for marginalized groups, and the innovative ways that NLP can be leveraged to promote equality. The session will also explore the ethical responsibilities of developers and organizations in mitigating bias and ensuring that AI works for everyone. Attendees will leave with a clearer understanding of the transformative potential of AI, along with actionable insights into how to minimize the risk of perpetuating harmful stereotypes.