Artificial Intelligence (AI) readiness in the Global South extends beyond infrastructure to include curriculum design, workforce development, and cross-sector collaboration. Bangladesh, ranked 82nd in the 2023 Oxford Insights AI Readiness Index, exhibits significant deficits in technology capacity and research ecosystems, despite strong governmental visions. While HCI and ICTD research have explored digital inclusion and responsible AI, little empirical work examines how educational, industrial, and policy domains intersect to shape readiness. We present a multi-method qualitative study of AI readiness in Bangladesh, combining institutional analyses, 59 stakeholder interviews, and curriculum benchmarking against global exemplars. Findings reveal outdated curricula, limited faculty upskilling, inadequate computing resources, entrenched gender disparities, and the near-total absence of AI ethics instruction. We contribute empirical mapping of current practices, identification of structural and cultural barriers, and actionable pathways for embedding human-centered, inclusive, and responsible AI practices into national agendas, advancing equitable innovation in emerging AI ecosystems.

翻译：全球南方国家的人工智能准备度不仅涉及基础设施，更涵盖课程设计、劳动力发展与跨部门协作。尽管孟加拉国政府提出了明确的战略愿景，但在2023年牛津洞察人工智能准备度指数中仅位列第82名，其技术能力与研究生态系统仍存在显著不足。虽然人机交互与信息通信技术发展领域的研究已探讨数字包容与负责任的人工智能，但鲜有实证研究关注教育、产业与政策领域如何相互交织影响国家准备度。本研究采用混合质性方法，通过制度分析、59位利益相关者访谈以及与国际标杆课程的对比评估，系统考察孟加拉国的人工智能准备度现状。研究发现：课程内容陈旧、教师技能提升有限、计算资源不足、性别差距问题固化，且人工智能伦理教育几近空白。本研究通过实证绘制当前实践图景，识别结构性及文化性障碍，并提出将人本、包容与负责任的人工智能实践嵌入国家议程的可操作路径，以促进新兴人工智能生态系统的公平创新发展。