The lack of deep engagement with the humanities results in several key problems that undermine a full understanding of AI and its societal impacts: 1. Narrow definitions of intelligence. Without input from philosophy, psychology, and other fields, AI researchers tend to operate with simplistic notions of intelligence as computational power or information processing. This ignores the nuanced phenomenological, emotional, and ethical dimensions of human cognition. 2. Technological solutionism. Engineering-driven approaches treat AI as an end in itself rather than reflecting on broader social needs and problems it should aim to solve. A solely techno-centric view ignores humanistic insights into the complexity of social challenges. 3. Ethics as an afterthought. Issues of bias, privacy, and autonomy only arise late in development, rather than being core design considerations from the outset. Humanities scholarship on moral philosophy, critical race theory, and feminism reveal the need to place ethics at the foundation. 4. Uncritical adoption narratives. The absence of disciplines studying media, rhetoric, and propaganda allows exaggerated AI narratives to proliferate without evidence-based interrogation of the limitations and uncertainties involved. 5. Lack of historical context. Situating current developments in the larger arc of attempts to simulate human intelligence would lead to more measured expectations and claims. History and STS help provide that long-view perspective. 6. No platform for diverse voices. Computer science and engineering remain dominated by a narrow demographic. The humanities foster inclusive, pluralistic discourse essential for surfacing a diversity of needs and concerns. 7. Epistemic inequality. Deference to technical expertise without equal input from other forms of knowledge entrenches an imbalanced two cultures model separating the sciences and humanities. In essence, the tools of humanistic analysis are required to move beyond engineering-driven AI to develop more thoughtful, ethical, and socially-grounded intelligent systems.