AI and Big Data hold transformative potential across industries, offering advancements in efficiency, decision-making, and personalization. However, their misuse can exacerbate societal inequalities, perpetuate biases, and lack transparency. To fully realize the benefits of these technologies while mitigating their risks, it is crucial to implement ethical practices such as bias audits, explainable AI, and inclusive data practices. Governments, companies, and individuals must collaborate to ensure AI development is fair, transparent, and accountable. By addressing these challenges, we can harness AI and Big Data as forces for positive, equitable change, while safeguarding against their potential to harm marginalized communities.