In part two of our conversation, Dr. Gebru continues to challenge the status quo of artificial intelligence, highlighting how current systems are often designed to encourage overtrust, putting users at risk of “automation bias.” She discusses the ethical failures of Big Tech, particularly in the neglect of marginalized languages and communities, and shares her work building a federation of small language technology organizations that prioritize local expertise, ethical data use, and shared economic opportunity over profit-driven, one-size-fits-all models.
Dr. Gebru also reflects on the broader harms of unchecked AI: environmental damage, the erosion of critical thinking, and the marginalization of vulnerable communities. She stresses that systemic change through policy, regulation, and community-driven alternatives is essential, rather than placing the burden on individual users. Ending on a hopeful note, she shares the story of a small Māori radio station that developed its own language technology to preserve cultural identity, showing how grassroots innovation can offer a powerful path forward.
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Our guests contribute to this podcast in their personal capacity. The views expressed in this interview are their own and do not necessarily represent the views of Anita Borg Institute for Women and Technology or its employees (“AnitaB.org”). AnitaB.org is not responsible for and does not verify the accuracy of the information provided in the podcast series. The primary purpose of this podcast is to educate and inform. This podcast series does not constitute legal or other professional advice or services.