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Beyond “AI for Good”: Building Responsible AI
AI is moving fast in global health and development, but good intentions alone don’t guarantee good outcomes. In this episode of High-Impact Growth, we sit down with Genevieve Smith, Founding Director of the Responsible AI Initiative at UC Berkeley’s AI Research Lab, to unpack what it really means to build and deploy AI responsibly in contexts that matter most.
Drawing on a decade of experience in international development and cutting-edge research on AI bias, Genevieve explains why labeling a project “AI for good” isn’t enough. She introduces five critical lenses – fairness, privacy, security, transparency, and accountability – that program managers and product leaders must apply to avoid reinforcing existing inequalities or creating new risks.
The conversation explores real-world examples, from AI-driven credit assessments that unintentionally disadvantage women, to the challenges of deploying generative AI in low-resource and multilingual settings. Genevieve also shares emerging alternatives, like data cooperatives, that give communities governance over how their data is used, shifting power toward trust, agency, and long-term impact.
This episode offers practical insights for anyone navigating the hype, pressure, and promise of AI in development, and looking to get it right.
Responsible AI Initiative – UC Berkeley AI Research Lab – A multidisciplinary initiative advancing research and practice around responsible, trustworthy AI.
Mitigating Bias in Artificial Intelligence - A playbook for business leaders who build & use AI to unlock value responsibly & equitably
UC Berkeley AI Research (BAIR) – A leading AI research lab focused on advancing the science and real-world impact of artificial intelligence.
Fairness, Accountability, and Transparency (FAccT) Conference – A major interdisciplinary conference on ethical and responsible AI systems.
UN Women – An organization referenced in Genevieve’s background, focused on gender equality and women’s empowerment globally.
International Center for Research on Women (ICRW) – A research organization mentioned in the episode, specializing in gender, equity, and inclusive development.
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If you enjoy this show, please leave us a 5-Star Review and share your favorite episodes with friends.
Hosts: Jonathan Jackson and Amie Vaccaro
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By DimagiAI is moving fast in global health and development, but good intentions alone don’t guarantee good outcomes. In this episode of High-Impact Growth, we sit down with Genevieve Smith, Founding Director of the Responsible AI Initiative at UC Berkeley’s AI Research Lab, to unpack what it really means to build and deploy AI responsibly in contexts that matter most.
Drawing on a decade of experience in international development and cutting-edge research on AI bias, Genevieve explains why labeling a project “AI for good” isn’t enough. She introduces five critical lenses – fairness, privacy, security, transparency, and accountability – that program managers and product leaders must apply to avoid reinforcing existing inequalities or creating new risks.
The conversation explores real-world examples, from AI-driven credit assessments that unintentionally disadvantage women, to the challenges of deploying generative AI in low-resource and multilingual settings. Genevieve also shares emerging alternatives, like data cooperatives, that give communities governance over how their data is used, shifting power toward trust, agency, and long-term impact.
This episode offers practical insights for anyone navigating the hype, pressure, and promise of AI in development, and looking to get it right.
Responsible AI Initiative – UC Berkeley AI Research Lab – A multidisciplinary initiative advancing research and practice around responsible, trustworthy AI.
Mitigating Bias in Artificial Intelligence - A playbook for business leaders who build & use AI to unlock value responsibly & equitably
UC Berkeley AI Research (BAIR) – A leading AI research lab focused on advancing the science and real-world impact of artificial intelligence.
Fairness, Accountability, and Transparency (FAccT) Conference – A major interdisciplinary conference on ethical and responsible AI systems.
UN Women – An organization referenced in Genevieve’s background, focused on gender equality and women’s empowerment globally.
International Center for Research on Women (ICRW) – A research organization mentioned in the episode, specializing in gender, equity, and inclusive development.
Sign up to our newsletter, and stay informed of Dimagi’s work
We are on social media - follow us for the latest from Dimagi: LinkedIn, Twitter, Facebook, Youtube
If you enjoy this show, please leave us a 5-Star Review and share your favorite episodes with friends.
Hosts: Jonathan Jackson and Amie Vaccaro