Adoption of AI Tools in Journalism: Technical and Ethical Challenges

Abstract

This current study “Adoption of AI Tools in journalism: Technical and Ethical Challenges” study explores the difficulties in implementing artificial intelligence (AI) in Pakistani journalism and evaluates the methods used to overcome these difficulties. In this study a realistic approach is used to broadly understand the factors impacting AI adoption. The result based on Resonant Theory's Technological Acceptance Model (TAM) is evaluated. The utilization of TAM makes it helpful to analyze how a journalist’s perception of AI adoption is influenced. A sample size of 358 media persons surveyed to gather quantitative data about their experiences with AI, how often it is used, and what obstacles they face. The outcomes of the correlation analysis are useful in gaining a better understanding of the response to research question two, as follows: It was demonstrated that there is a somewhat positive link between technological hurdles and ethical issues, with a correlation coefficient of 0.539, a significance level of p < 0.01, and a total sample size of N = 358. These results were determined on the basis of the findings of the analysis. This indicates that journalists who have a greater number of technical challenges while using AI technologies are also more likely to have more significant ethical concerns. In the TAM model, internal variables like organizational readiness to incorporate AI and external variables like industry forces impact journalism AI adoption. Management support, personnel skills, newsroom culture, and technological availability determine how well artifice works. AI adoption is needed for audience expectations, competition, and digital changes. The correlation research also demonstrates that journalists' AI sentiments altered as they confronted light TAM model technical challenges. Reporters with technical concerns like system errors, data biases, or a lack of training are more likely to have ethical issues like accuracy, openness, and responsibility. These findings show that journalism must develop internal capability, establish ethical safeguards, and maintain human oversight to responsibly employ artificial intelligence to maintain credibility and public trust. The results intend to serve as a guide for news organizations, reporters, and legislators in handling the integration of AI while upholding journalistic standards and encouraging creativity.