The Evolutionary Nature of AI Neutrality

Achieving truly neutral AI is a moving target. As society's understanding of biases and fairness evolves, so too must the AI systems that aim to reflect these values. This evolutionary process demands continuous research, dialogue, and adaptation. The goal of neutral AI, therefore, is not a final state but an ongoing commitment to improvement.

Achieving truly neutral AI is a moving target. As society's understanding of biases and fairness evolves, so too must the AI systems that aim to reflect these values. This evolutionary process demands continuous research, dialogue, and adaptation. The goal of neutral AI, therefore, is not a final state but an ongoing commitment to improvement.

Empowered by Artificial Intelligence and the women in tech community.
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Claudia Bibiana Ruiz
Director - Researcher - Lecturer at Innovation Center of Meta Econova at Santo Tomas University

Neutral AI is like a process of constant reckoning with power, privilege, and representation. As our understanding of fairness evolves, so must our AI systems. Coming from a region where technology often reinforces socioeconomic and racial divides, I believe neutrality must be redefined not as "impartiality" but as a commitment to actively correcting historical injustices. AI must evolve alongside society, continuously adapting to ensure it amplifies equity, dignity, and inclusion rather than simply reflecting the biases of the past. Our challenge isn’t just making AI “less biased”; it’s making it truly empowering for all.

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