ENHANCING INDIGENOUS LANGUAGE PROGRAMMING THROUGH ARTIFICIAL INTELLIGENCE: A QUALITATIVE STUDY OF RADIO BROADCASTING IN ABAKALIKI, NIGERIA

Abstract

The adoption of Artificial Intelligence (AI) in broadcasting presents transformative opportunities for enhancing indigenous language programming, a critical avenue for preserving linguistic diversity and reinforcing cultural identity. This study investigates the role of AI as a tool for promoting indigenous language broadcast programmes in Ebonyi State, Nigeria. Specifically, the study examines the current state of indigenous language programming, explores potential applications of AI technologies in advancing such programmes across three selected radio stations, evaluates the effectiveness of AI-driven solutions in addressing linguistic marginalization, and assesses the challenges hindering AI adoption.Anchored on the theoretical lens of technological determinism, the study employed a qualitative research design, utilizing in-depth interviews with On-Air Personalities (OAPs) from Legacy 95.1 FM, EBBC Radio Salt 98.1 FM, and Glorious 88.3 FM. Findings revealed a strong demand for indigenous language programming; however, integration with AI technologies remains minimal due to barriers such as high implementation costs, limited technical expertise, and inadequate linguistic databases. The study recommends the development of localized AI solutions, capacity-building initiatives for media practitioners, increased funding, and government support through targeted policies and subsidies. By addressing these constraints, AI can serve as a vital instrument for fostering cultural inclusivity, mitigating linguistic marginalization, and advancing the preservation of indigenous languages within Nigerian broadcasting.