Professional Faculty
Center for Equity, Gender, and Leadership
About
Genevieve Smith is the Founding Director of the Responsible AI Initiative at the UC Berkeley Artificial Intelligence Research Lab (BAIR) and serves as Professional Faculty at Haas on responsible AI. She is also the Interim Co-Director of the AI Policy Hub at UC Berkeley, a research affiliate at the Minderoo Centre for Technology & Democracy at Cambridge University, and a research affiliate at the Technology & Management Centre for Development at University of Oxford. She recently served as the Responsible AI Fellow at the US Agency for International Development and prior to working at UC Berkeley, worked with the UN Foundation, UN Women, and the International Center for Research on Women conducting research and leading projects on inclusive and equitable technology.
Expertise and Research Interests
- Responsible & Equitable Artificial Intelligence (AI)
- AI for Good & Social Impact
- Diversity, Equity, Inclusion & Belonging
- Smith, G., Luka, N., Osborne, M., Lattimore, B., Newman, J., Nonnecke, B. & Mittelstadt, B. (2025). Responsible Generative AI Use by Product Managers: Recoupling Ethical Principles and Practices.
- Smith, G., Fleisig, E., Bossi, M., Rustagi, I., & I. Yin. (2025). Standard Language Ideology in AI-Generated Language. arXiv:2406.08726.
- Fleisig*, E., Smith*, G., Bossi*, M., Rustagi*, I., Yin*, I. & D Klein. (2024). Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination. arXiv:2406.08818. (under review for 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP)) *Shared lead authorship
- Eiras, F., Petrov, A., Vidgen, B., Schroeder De Witt, C., Pizzati, F., Elkins, K., Mukhopadhyay, S., Bibi, A., Csaba, B., Steibel, F., Barez, F., Smith, G., Guadagni, G., Chun, J., Cabot, J., Imperial, J.M., Nolazco-Flores, J.A., Landay, L., Jackson, M.T., Rottger, P., Torr, P., Darrell, T., Lee, Y.S. & Foerster, J.N. (2024). Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI. Proceedings of the 41st International Conference on Machine Learning, in Proceedings of Machine Learning Research. 235:12348-12370 Available from https://proceedings.mlr.press/v235/eiras24b.html
- Smith, G. (2024). How to make AI equitable in the Global South. Stanford Social Innovation Review.
- Smith, G., Licata, G., & Rustagi, I. (2024). Empowering product teams to mitigate hateful speech on social media products. Business and Professional Communication Quarterly.
- McElhaney, K., Smith, G., Rustagi, I. & Groth, I. (2022). Responsible A.I.: Tackling tech’s largest corporate governance challenges. California Management Review.
- Nee*, J., Smith*, G., Sheares, A. & Rustagi, I. (2022). Linguistic justice as a framework for designing, developing, and managing natural language processing tools. Big Data & Society, 9(1). *Shared lead authorship
- Smith, G. & Rustagi, I. (2022). Workplace AI wants to help you belong. Stanford Social Innovation Review.
- Smith, G. & Rustagi, I. (2021). When good algorithms go sexist: Why and how to advance AI gender equity. Stanford Social Innovation Review.
- Nee, J. Smith, G. M., Sheares, A. & and Rustagi, I. (2021). Advancing social justice through linguistic justice: Strategies for building equity fluent NLP technology. Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO ’21), October 5–9, 2021, ACM, New York, NY, USA.
- Smith, G., McElhaney, K., & Chavez-Varela, D. (2021). The state of diversity, equity and inclusion in business school case studies. Journal of Business Diversity, 21(3).
- Smith, G. & Rustagi, I. (2020). Mitigating bias in artificial intelligence: An equity fluent leadership playbook. University of California Berkeley Haas School of Business & the Center for Equity, Gender, and Leadership.
- Smith, G., Rizzo, A. T., & Glinski, A. (2020). Men and masculinity in the workplace. In E. Barese (Eds.), Masculinity and Femininity: Past, Present and Future, (pp. 59-80). Nova Science Publishers.
- McElhaney, K., Smith, G. & Goelz, M. (2019). Promoting a culture of equity in the #MeToo era: Moving beyond responding to gender-related workplace issues to tackling root causes. California Management Review.
- Smith, G. & Rustagi, I. (2020). The problem with COVID-19 AI solutions & how to fix them. Stanford Social Innovation Review.
- McElhaney, K. & Smith, G. (2017). Eliminating the gender pay gap: Gap Inc. leads the way. California Management Review.
- Gammage, S. & Smith, G. (2017). Feminist economics and agency. In D.C.Poff & A.C. Michalos (Eds.), Encyclopedia of Business and Professional Ethics (pp. 1-5). Cham: Springer International Publishing.
- Tyson, L., Klugman, J. & Smith, G. (2016). Business culture and practice as a driver for women’s economic empowerment. UN Secretary General’s High-Level Panel on Women’s Economic Empowerment.
At Haas since 2019
- 2019 – 2023: Associate Director, Berkeley Haas Center for Equity, Gender & Leadership
- 2023 – present: Professional Faculty
- Is it ethical? New undergrad class trains students to think critically about artificial intelligence. (2024). Berkeley Haas News.
- The Ethics Of Responsible AI: Inside The New Course At Berkeley Haas. (2024). Poets & Quants.
- Topics in Responsible Business, Responsible AI Innovation & Management, UGBA