The integration of data and AI has propelled organizations toward greater efficiency and innovation. However, as businesses embrace these technologies, the issue of bias in AI models becomes increasingly significant. The repercussions of biased algorithms, often stemming from inadequate data diversity, can lead to inequitable outcomes. AI’s directive in cultivating diverse data for ethical, bias-free