Welcome to the She Writes AI interview episodes covering our second book collaboration for the AI Everywhere series. We are kicking off this new cohort by exploring the personal journeys and professional expertise of 31 authors from 18 countries worldwide who are redefining our relationships with machine intelligence. This is the 2nd episode in our interview series with book2 chapter authors. If you’re new to SheWritesAI, welcome! We’re a free, inclusive community of 750+ women and nonbinary writers in 60+ countries worldwide, with a focus on AI and data. Allies of all genders are welcome. Learn more: About | Books | Categories | Directory | Digests | Donate | Herstory | Join | Subscribe | Updates | Welcome | World Map For more insights from interviewer Farida Khalaf, see her Lights On by Farida newsletter or youtube.com/@faridakhalaf25. About My Guest: Tatyana Amugo Today I (Farida Khalaf) am joined by Tatyana Amugo. Representing the Builder perspective, her chapter addresses a profound and provoking reality: that most modern technological products were not actually built for everyone. Tatyana is a Gen Z software developer and AI engineer originally from Kenya and now based in Toronto. Through her work and her chapter, she explores the “friction” experienced by Black and brown technologists and those from the Global South when using tools designed with a narrow, “default” worldview. Tatyana brings a powerful and necessary Gen Z perspective to the table, and it was a true pleasure to see her generation taking such deliberate action to embrace the AI conversation, ensuring they are in the rooms where the future is being decided rather than being left behind. Whether she is breaking down complex concepts in her newsletter, Lipgloss and LLMs, or advocating for Digital Justice, Tatyana is helping to shape a world where being “included” is just the starting point for genuine sovereignty In this second interview for our second book collaboration, Tatyana explores how the physical "friction" of tools not designed for you can be reclaimed as "precise data" to measure system errors. She shares how the legacy of the Matilda Effect, the systematic erasure of women's technical contributions, drives her to ensure Gen Z isn't just demonstrating for change, but is actively participating in the rooms where AI architecture is decided. Whether you are a Black or brown technologist who has felt the "scissors pull wrong" or a curious learner looking to understand LLMs through the lens of your favorite lip gloss, Tatyana’s insights offer a roadmap for building a window to a future that prioritizes digital justice over mere inclusion. This episode includes Tatyana’s full interview response to Farida Khalaf’s questions on her chapter, Building With AI Tools That Weren’t Built For You Intended Audience: Anyone who has felt the "edges" of technology, specifically women, Black and brown technologists, and developers from the Global South, as well as those who want to understand the invisible barriers in AI design. It is also for anyone who feels intimidated by technical jargon and wants a safe, accessible space to learn If you’re interested in more conversations like this, consider subscribing to She Writes AI. I’ll continue sharing insights from the voices shaping the future of AI, including contributors from new chapters in AI Everywhere where 31 women from across five continents explore how artificial intelligence is changing the world we live in, and how we can change it for the better. Where To Buy, How To Read and Listen, Ways To Review, Ways To Support Get full access to She Writes AI Community at shewritesai.substack.com/subscribe