The impact of artificial intelligence (AI) on education and lifelong learning is a topic of significant importance as AI continues to change numerous sectors. This paper aims to critically examine AI's profound effect in these domains. The present research explores the ethical dilemmas and pedagogical approaches relevant to incorporating artificial intelligence (AI) in lifelong learning. This study examines a range of ethical concerns, such as data privacy, security, and the potential biases in algorithms. It emphasizes the difficulties these problems provide in ensuring fair access to educational resources driven by artificial intelligence. The research also delves into learner autonomy issues and the potential dangers associated with excessive dependence on artificial intelligence systems in education. From an educational perspective, this initiative presents novel methodologies that use artificial intelligence (AI) capabilities while prioritizing learner-centered instruction. The strategies above cover the use of blended learning models, the cultivation of meta-cognitive abilities, and the adoption of collaborative and multidisciplinary approaches. This research highlights the significance of these components in integrating artificial intelligence (AI) into lifelong learning frameworks, particularly for educators, policymakers, and technologists. This thorough research provides a well-rounded perspective on the role of artificial intelligence (AI) in education, emphasizing the need to maintain ethical awareness and adaptability in teaching approaches, considering the fast-paced technological advancements. [For the complete proceedings, see ED672800.]