Ensuring inclusivity in agentic AI systems begins with the data they are trained on. Collecting datasets that reflect the demographic, cultural, and social diversity of the real world helps prevent biases and ensures that the AI system can serve various communities fairly. Researchers should strive for balanced representation across gender, ethnicity, age, socioeconomic background, and more to develop inclusive AI behaviors and decisions.
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