Unlocking Dark Archives in Ghanaian Academic Institutions: Exploring Human-AI Collaboration as a Transformative Approach

Abstract

Memory and heritage institutions in Ghana house invaluable repositories of historical records and cultural artifacts, yet many of these treasures are inaccessible dark archives (that is, unexplored or underutilised collections). This paper explores the potential of human-artificial intelligence (AI) collaboration as a transformative approach to unlock dark archives within academic institutions. Drawing on interdisciplinary perspectives from AI and cultural heritage preservation, the study examines the methodologies, challenges, and opportunities associated with leveraging AI technologies alongside human expertise in preserving information and knowledge for posterity. The study employs a qualitative methodology using empirical findings from the Institute of African Studies Library, University of Ghana. Furthermore, the research identifies key research objectives, including assessing the readiness of information professionals in Ghana to embrace AI technologies and archiving practices. The study provides insights and recommendations for policymakers, information professionals, and researchers seeking to harness the power of human-AI collaboration to unlock dark archives and bring them to light.