The concept of artificial intelligence (AI) has garnered much attention in recent years, owing to its rapid advancements and widespread applications across various sectors. From healthcare, where AI algorithms assist in diagnostics, to finance, where they enhance decision-making and fraud detection, the implications of AI are profound. Yet, these advancements also prompt ethical and societal questions. For instance, concerns arise regarding job displacement due to automation, as AI systems become capable of performing tasks previously carried out by humans. Moreover, the potential for biases inherent in AI systems can lead to unfair outcomes for marginalized groups, raising questions about accountability and transparency. This dialogue about the future of AI necessitates an interdisciplinary approach, combining insights from technology, ethics, and social sciences.