Genevieve Smith is a DPhil candidate in International Development. Her research explores gender-related impacts and opportunities of artificial intelligence using machine learning (ML). In particular, she focuses on if/how ML-based alternative lending apps in India may reinforce gender inequity and seeks to utilize participatory research methods to inform gender-sensitive, ML-based alternative lending tools. 

Genevieve holds a Master’s in Development Practice from the University of California, Berkeley and works as the Associate Director at the Center for Equity, Gender & Leadership at UC Berkeley’s Haas School of Business. Here, she examines socio-technical questions of how bias in AI is perpetuated, as well as how to advance equity and inclusion within teams and technology products. She has also worked previously with UN Women on the UN High-Level Panel for Women's Economic Empowerment, the UN Foundation, and the International Center for Research on Women exploring topics of women’s economic empowerment, inclusive technology, and digital inclusion.