The Ownership of AI-Assisted Knowledge: Negotiating Authorship and Intellectual Property in Academia

Abstract

Abstract The rapid integration of generative artificial intelligence (AI) in higher education has raised urgent questions about authorship, intellectual property (IP), and academic integrity. This study examines the ownership of AI-assisted knowledge in academia, with particular focus on language and literature disciplines. Employing a qualitative, document-based approach, the research analyses scholarly literature, institutional AI policies, and copyright/legal frameworks from the United States, international bodies (WIPO and UNESCO), and African contexts. Findings reveal that AI’s engagement as both tool and co-creator can destabilise traditional human-centred notions of authorship, creating tensions between machine assistance, human creativity, and academic responsibility. While AI has the potential to enhance learning and research productivity, ownership and accountability must remain with human intellectual agents who control, interpret, and transform AI outputs. The study proposes a framework grounded in transparency, human-centred authorship, discipline-specific guidelines, and institutional alignment with legal and ethical norms to safeguard creativity, cultural ownership, and pedagogical integrity. This framework provides actionable guidance for universities, students, and lecturers navigating AI-assisted academic practices, balancing innovation with ethical and scholarly rigour.