Abstract. Nowadays, Artificial Intelligence (AI) is a buzzword which appears on tech headlines and guides constantly. In a nutshell, AI has been widely implemented in news content generation process, which helped journalists to develop more efficient, diverse and qualitative news production workflows. In this paper, we discuss the applications of AI in automated summarisation, headline generation and content optimisation in newsroom-wide workflow. We analyse this process by looking at how AI tools could potentially reduce human efforts and help humans to produce more concise and accurate summaries and fascinating headlines by also enhancing the engagement of the audience. However, we also argue about the increasing dependency on AI which potentially causes more ethical problems such as algorithmic bias, lack of transparency, and the loss of journalistic integrity. By examining the current AI-driven tools and strategies to avoid the bias produced by machines, we explore both the opportunities and the challenges of AI in journalism. Our findings imply that, although AI substantially improved the production efficiency and content relevance, it requires proper management to prevent the problem such as ignorance of bias and ethical failure. Eventually, humans would still play a part in the story by complementing AIs capabilities.
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