Artificial Intelligence, Ethics, and Credibility in Journalism: An Interdisciplinary Study Integrating AI, Psychology, and Physics

Abstract

The integration of Artificial Intelligence (AI) in journalism has transformed news production, distribution, and consumption, while raising ethical concerns related to credibility, authenticity, and professional responsibility. This study examines Pakistani journalists’ perceptions of AI-driven ethical risks, with a focus on threats to content authenticity, fake news, deepfakes, and editorial standards. Using a quantitative survey, data were collected from 387 journalists across print, electronic, and digital media in Islamabad, Lahore, and Karachi. Descriptive analysis reveals that journalists perceive AI as a potential threat to authenticity and credibility, with deepfakes and automated content generation complicating verification and adherence to ethical standards. Respondents emphasized the importance of human editorial oversight and transparency, endorsing a human-in-the-loop approach to AI-assisted journalism. The findings highlight that while AI offers efficiency and innovation, robust ethical safeguards are essential to maintain public trust and professional norms. This study provides empirical evidence from Pakistan, addressing a gap in research on developing media systems, and offers recommendations for ethical guidelines, disclosure policies, training programs, and regulatory frameworks to ensure responsible AI adoption in journalism.