TO STUDY THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGY IN COMMUNITY RADIO

TO STUDY THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGY IN COMMUNITY RADIO

TO STUDY THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGY IN COMMUNITY RADIO

AUTHORS –  KUMARI MAHI1 & DR RAKESH PRAKASH2, STUDENT & ASSOCIATE PROFESSOR AT AMITY SCHOOL OF COMMUNICATION, AMITY NOIDA (UP)

BEST CITATION – KUMARI MAHI & DR RAKESH PRAKASH, TO STUDY THE ROLE OF ARTIFICIAL INTELLIGENCE TECHNOLOGY IN COMMUNITY RADIO, INDIAN JOURNAL OF LEGAL REVIEW (IJLR), 4 (1) OF 2024, PG. 1278-1289, APIS – 3920 – 0001 & ISSN – 2583-2344.

Abstract

The present study investigates the effects and implications of AI (Artificial Intelligence) technology within the community radio domain. The study looks into how AI may improve listener engagement, content development, and overall operational efficiency. It also tries to identify potential advantages and difficulties in implementing AI into community radio stations. Through the examination of case studies and user views, the research seeks to add to the growing conversation about the impact of technology on grassroots media by offering insightful analysis of the changing function of AI in community radio stations. Community radio is changing as a result of artificial intelligence’s revolutionary tools and capabilities. Artificial intelligence (AI) algorithms in content development can examine listener preferences to create customized playlists and recommend pertinent conversation topics. AI-powered automated voice assistants improve program interaction by responding instantly and encouraging active audience participation. AI-driven data analytics are also essential for comprehending listener behavior, which helps stations tailor their content to the tastes of their listeners. This improves the user experience while also assisting stations in making data-driven decisions on their content strategy. AI improves operational efficiency by streamlining a variety of procedures, including editing and scheduling. Producers can save time and ensure a polished final result by enhancing audio content with the help of automated editing technologies. AI algorithms can also optimize scheduling by customizing broadcasts to target audiences and taking into account peak listening hours. While there are many advantages to these developments, integrating AI into community radio also presents difficulties such as data privacy issues, moral dilemmas, and the possibility of employment displacement in traditional roles. This study aims to explore these complex issues to provide readers with a thorough grasp of how artificial intelligence is changing and affecting community radio in the modern era.

Keywords: Artificial Intelligence, Community Radio, AI Tools, Radio.