- **Q: Why is 'Give To Gain' the theme for IWD 2026?
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News / International Women's Day
International Women's Day (IWD) 2026 highlights global efforts towards gender equality across various sectors. This year's focus includes empowering women in museums, promoting inclusivity, and addressing gender bias in artificial intellige...
#### FIGO's 'Give To Gain' Campaign FIGO's IWD 2026 theme, 'Give To Gain,' promotes generosity and collaboration to advance women's health and rights. This approach recognizes that when women have access to essential services, the benefits extend to families, health systems, economies, and societies, creating a more just and sustainable world. Share your message using the editable social media graphics and tag FIGO to amplify the reach!
#### ICOM's #WomenInMuseums ICOM's initiative celebrates the 115th anniversary of IWD by advocating for diversity and empowerment in the museum sector. The #WomenInMuseums campaign highlights the work of female museum professionals and their impact on shifting narratives and driving inclusivity. ICOM is committed to promoting gender equality as a core diversity issue in museums. Find related articles and podcasts on women and feminist issues in museums and keep an eye out for more content this month.
#### AI Inclusivity in Architecture RIBA explores how architects can confront gender bias in AI to build more equitable design tools. Discussions with industry experts emphasize the need for inclusivity in AI systems, addressing gender imbalance in the AI pipeline and ensuring diverse voices shape AI development. The key is to make sure that AI promotes diversity and equality, not the biases of the past. Download RIBA's Inclusive Design Overlay to the Plan of Work for more guidance on responsible inclusive design. [Download here?ref=yanuki.com].
#### Addressing Gender Bias in AI Systems Gender bias in AI systems often stems from the training data, which may be based on historical portfolios that marginalize female designers. Experts suggest industry-wide policies, such as mandatory transparency and AI Governance Frameworks, to ensure AI tools are developed and deployed equitably. We can not let the AI repeat the mistakes of the past!
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