The Intersection of AI Bias and Social Justice

AI bias is not just a technical issue but a profound social justice concern. The impacts of biased AI systems often exacerbate social inequalities, affecting vulnerable populations the most. Addressing AI bias requires a multifaceted approach that includes technical solutions, ethical considerations, and societal engagement to ensure that AI technologies support rather than undermine equity.

AI bias is not just a technical issue but a profound social justice concern. The impacts of biased AI systems often exacerbate social inequalities, affecting vulnerable populations the most. Addressing AI bias requires a multifaceted approach that includes technical solutions, ethical considerations, and societal engagement to ensure that AI technologies support rather than undermine equity.

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Claudia Bibiana Ruiz
Director - Researcher - Lecturer at Innovation Center of Meta Econova at Santo Tomas University

AI bias is like a mirror reflecting systemic inequalities that have long existed in our societies. As a Colombian woman researching the intersectionality of AI, I see firsthand how these biases disproportionately affect marginalized communities, limiting access to opportunities and reinforcing discrimination. AI should not be a tool that deepens existing divides but one that actively works to dismantle them. True equity in AI requires us to go beyond technical fixes and engage in deep, systemic change to one that includes diverse voices, ethical accountability, and policies that center those most impacted. We have the power to demand and create AI that serves justice, not just efficiency.

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Claudia Bibiana Ruiz
Director - Researcher - Lecturer at Innovation Center of Meta Econova at Santo Tomas University

AI bias is like a mirror reflecting systemic inequalities that have long existed in our societies. As a Colombian woman researching the intersectionality of AI, I see firsthand how these biases disproportionately affect marginalized communities, limiting access to opportunities and reinforcing discrimination. AI should not be a tool that deepens existing divides but one that actively works to dismantle them. True equity in AI requires us to go beyond technical fixes and engage in deep, systemic change to one that includes diverse voices, ethical accountability, and policies that center those most impacted. We have the power to demand and create AI that serves justice, not just efficiency.

...Read more
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