This conceptual paper delves into the integration of Generative Artificial Intelligence (AI) in higher education, examining its multifaceted applications and the ethical implications accompanying its adoption. Generative AI, capable of autonomously producing original content, holds immense potential to revolutionize teaching methodologies, enhance learning experiences, and amplify research productivity. For instance, AI can create personalized learning pathways, automate administrative tasks, and generate insights from vast datasets, enabling educators and students to focus on higher-order thinking skills. However, the rapid adoption of these technologies raises critical ethical concerns, such as intellectual property rights, data privacy, academic integrity, and equitable access. Questions surrounding the authorship of AI-generated content, safeguarding sensitive student data, ensuring fair use, and addressing biases inherent in AI systems are increasingly relevant in academic discussions. Beyond the immediate applications, this paper proposes a conceptual framework that brings together GenAI technologies, insights from psychological research, and digital learning platforms to design Adaptive Learning Management Systems (ALMS).