Who Is Responsible for the Truth?

One question stayed with me long after I attended a workshop under the project titled ‘Digital Trust and Free Expression in the Era of AI’, organized by the Department of Media and Development Communication, University of the Punjab with the support of the U.S. Mission to Pakistan in partnership with the Pakistan-U.S. Alumni Network, was, ‘How will we preserve digital trust and free expression in the age of AI’? As AI becomes an integral part of digital journalism, the question is no longer whether it should be used, and more importantly who should be held responsible when things go wrong.

Artificial Intelligence has definitely proven to be a powerful tool for journalists. It can summarize long reports, translate content into multiple languages, follow breaking news, analyze vast quantities of data and even write complete news reports in seconds. All of these capabilities have revolutionized newsroom processes and enabled journalists to process information more efficiently than ever before. But efficiency is not the only measure of ethical journalism. Journalism isn’t about being fast, it’s about informing the public accurately, fairly and responsibly. One of the most valuable lessons I learned from the workshop was that AI does not understand information; it predicts the most likely response based on patterns in the data it has learned from. This distinction is important because when reliable information is unavailable at the time, AI generates responses that seem convincing but inaccurate, but are wrong, which is often referred to as AI hallucination. What’s most concerning is that the AI generated mistakes can appear convincing enough for people to accept them as true.

This poses an ethical question: Who should be held responsible if AI-generated news contains misleading information? The burden can’t be placed entirely on the algorithm. AI has no moral judgement or legal accountability. It cannot distinguish between public interest and public harm and is not aware of the social consequences of publishing inaccurate information. This means that the responsibility rests with those who decide to employ these technologies: journalists, editors, newsroom leaders, and media organizations. While AI can help create content, it cannot replace responsibility.

This is where ethics become more important than technological advancements. Checking information should not take a back seat to the ‘Publish first’ mentality. With all of the digital platforms that exist today, misinformation can spread from continent to continent within minutes and corrections often fail to reach the same audience. Each unverified headline altered photo or AI-generated mistake can damage the public’s trust, both in a specific news organization and in journalism.

The discussions also reinforced the importance of Media and Information Literacy (MIL). Verification is not only the responsibility of journalists, but also something that is necessary for every digital citizen. Learning how to use reverse image search, source verification techniques, and critical evaluation of online information is no longer an option, it’s essential for protecting ourselves from deception. As AI-generated content becomes increasingly sophisticated, it is essential to verify information before accepting it as true.

AI will continue to evolve and so will digital journalism. The challenge is not innovation itself but using it responsibly. Trust is not something algorithms can build, it is something that can be gained only through transparency, accountability and a steadfast dedication to truth. While adopting new technologies to do journalism, let’s not forget that the tools should enhance journalism’s values, not shape journalism. AI may help write the news, but only humans can uphold the ethics behind it.

The views, thoughts, and opinions expressed in this blog are solely those of the author and do not necessarily reflect the official policy or position of the U.S. Mission to Pakistan or USEFP.