Unconscious biases remain among the most persistent challenges undermining leadership effectiveness and organizational equity. These cognitive blind spots—ranging from affinity bias to confirmation bias—often distort decision-making in recruitment, promotions, and resource allocation, limiting diversity and trust. Advances in artificial intelligence (AI) offer novel mechanisms to detect, surface, and mitigate such hidden biases by providing data-driven diagnostics, predictive insights, and interpretive feedback that leaders alone may overlook. This chapter conceptualizes AI as a “Bias Interceptor,” outlining its potential to augment reflective leadership, strengthen evidence-based decision-making, and improve fairness across organizational systems. It also addresses ethical dilemmas, including algorithmic bias, privacy risks, and overreliance on automation. Drawing on psychological theory, empirical studies, and applied practices, the chapter proposes a roadmap for leveraging AI responsibly to reduce leadership blind spots and foster more inclusive organizational cultures.