Artificial Intelligence (AI) and distributed computing have the potential to drive innovation, enhance efficiency, and create economic opportunities. However, these technologies also reinforce systemic biases that disproportionately disadvantage women and other marginalized groups. This paper introduces two gender-responsive methods–Critique Meeting and Dodging Gendered Duties–that were developed within the EU-funded GILL project (Gendered Innovation Living Labs) to mitigate bias and foster inclusion in AI development. Grounded in behavioral design and participatory practice, these methods represent structural interventions that go beyond individual-level strategies to address institutional and cultural dimensions of bias in technology design. The study aligns with the goals of the GILL special session by addressing barriers and enablers to career progression and the role of AI in the promotion of gender equity.