AI-Driven Journalism in Pakistan: Legal Constraints and Future Directions
DOI:
https://doi.org/10.63056/Keywords:
AI-driven journalism , Pakistan , media laws , digital ethics , misinformation , deep-fake regulation , press freedom.Abstract
Artificial Intelligence (AI) is revolutionizing journalism worldwide by automating news production, fact-checking, and audience engagement. In Pakistan, AI-driven journalism has the potential to enhance media efficiency, improve content personalization, and combat misinformation. However, its adoption raises significant legal and ethical challenges, including regulatory gaps, data privacy concerns, algorithmic bias, and the accountability of AI-generated content. Existing media laws, such as the Pakistan Electronic Media Regulatory Authority (PEMRA) Ordinance, the Prevention of Electronic Crimes Act (PECA), and defamation laws, do not adequately address AI’s implications for journalism. Furthermore, Pakistan lacks a comprehensive data protection framework, making AI-driven media vulnerable to misinformation and privacy violations. This paper explores the legal constraints shaping AI-driven journalism in Pakistan and examines their implications for press freedom, journalistic integrity, and media accountability. It highlights the risks of deepfake technology, AI-generated misinformation, and the ethical dilemmas posed by automation in newsrooms. Additionally, it discusses the broader impact of AI on journalism jobs, bias in algorithmic content moderation, and challenges in enforcing digital media regulations. To ensure responsible AI integration in journalism, Pakistan must develop AI-specific media policies, establish ethical guidelines for AI-driven content, and strengthen legal frameworks for digital media governance. The paper proposes future directions, including AI literacy programs for journalists, regulatory reforms, and collaboration between media stakeholders and policymakers. By addressing these challenges, Pakistan can leverage AI to enhance journalistic quality while safeguarding press freedom, media ethics, and public trust in digital news.
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Copyright (c) 2025 Majid Raza, Dr. Usman Farooq, Dr. Muhammad Yaseen Moroojo, Javed Ali, Dr. Taha Shabbir (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.