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As AI begins to shape everyday newsroom workflows, experts warn that maintaining human judgement is vital to prevent errors, bias, and erosion of original journalism amid rapid technological adoption.<\/p>\n<\/div>\n
Artificial intelligence is moving from the margins of newsroom experimentation into everyday reporting workflows, but the central question remains whether it can support journalism without eroding the judgement that gives it value. As Harvard Gazette noted in a report on AI in newsrooms, the technology can help editors and reporters work through large datasets more quickly, yet it still depends on human supervision to guard against errors and ethical lapses. That tension is now shaping debates over whether AI should be treated as a tool for efficiency or a threat to editorial independence.<\/p>\n
At Casper Libero, Professor Eduardo Nunomura describes AI as something he already uses in routine academic and professional work, from drafting simple correspondence to helping build digital tools. He argues that the value lies in freeing journalists from repetitive tasks so they can spend more time on reporting, analysis and original thinking. Speaking to Her Campus, he said AI can assist at every stage of journalism, but only if it is used consciously. In his view, the key issue is not whether journalists use it, but whether they allow it to become a shortcut.<\/p>\n
Research published by SAGE points to deeper structural concerns. It warns that AI can raise disputes over intellectual property, transparency and the risk of homogenised content, while another SAGE study on AI ethics in journalism says newsrooms need clearer rules on accountability, bias and diversity. That broader academic debate echoes Nunomura\u2019s warning that journalists must not let machine-generated material flatten originality or weaken critical thinking.<\/p>\n
The concerns are not merely theoretical. TechXplore reported earlier this year that both journalists and audiences are growing more uneasy about generative AI in the news, in part because synthetic material can mislead readers and is not always easy to detect. The World Economic Forum has also highlighted practical limits, including AI\u2019s difficulty in handling unstructured information and explaining how it reaches conclusions. Taken together, those findings suggest that AI may become more useful to journalism, but only if newsrooms keep human judgement firmly in control.<\/p>\n
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