
Artificial intelligence (AI) has seamlessly integrated into numerous facets of our world, ranging from healthcare diagnostics to judicial recommendations. However, despite its impressive capabilities, AI often stumbles upon a profound challenge—bias. The biases embedded within AI systems can result in discriminatory outcomes and perpetuate existing societal inequalities. Addressing these biases is essential, underscoring the importance of robust model governance in










