https://ojs.sgsci.org/journals/jitp <p><strong><em>Journal of Information, Technology and Policy</em></strong> (JITP) is an international, peer-reviewed, and open-access journal that aims to serve as a premier platform for interdisciplinary dialogue on the intersection of information, technology and policy. The goal is to foster a deeper understanding of the impact of technology on society and how policy can shape this relationship.</p> <p><strong>ISSN(Online): 3041-0649</strong></p> Global Science Publishing en-US Journal of Information, Technology and Policy 3041-0649 https://ojs.sgsci.org/journals/jitp/article/view/346 <p class="14"><span lang="EN-US">The rise of generative artificial intelligence is reshaping the model of news production. While it enhances the efficiency of content output, it also raises profound ethical concerns. Technological tools can rapidly generate standardized news texts, but the mechanized production model may result in a loss of in-depth thinking and value judgment in news reporting, and could even lead to the creation of false or misleading content in the pursuit of traffic benefits. The core contradictions manifest in three aspects: first, the probabilistic nature of algorithm-generated content conflicts with the fundamental requirement for news accuracy, as the phenomenon of hallucination in language models may present fabricated information as fact; second, the ambiguity in assigning responsibility in human-machine collaboration makes it difficult to trace accountability when misinformation spreads; third, media organizations commonly face a transparency paradox, where the covert use of AI tools not only undermines the public’s right to know but also exacerbates the trust crisis.</span></p> Qingtao Liu Copyright (c) 2025 Qingtao Liu https://creativecommons.org/licenses/by/4.0 2025-04-10 2025-04-10 1 6 10.62836/jitp.2025.346 https://ojs.sgsci.org/journals/jitp/article/view/431 <p class="14"><span lang="EN-US">The palm oil industry faces increasing pressure to improve productivity, sustainability, and supply chain transparency amid environmental and economic challenges. This study aims to explore the potential of artificial intelligence (AI) and digital technologies in transforming the palm oil sector by synthesising existing qualitative literature. A qualitative literature review methodology was employed, focusing on secondary data sourced from 80 peer-reviewed academic articles, institutional reports, and relevant industry publications. Data collection involved systematic document retrieval and screening to ensure relevance and credibility. Thematic analysis was conducted to identify key areas where AI and digital tools impact the industry, emphasising precision agriculture, supply chain traceability, environmental monitoring, and labour productivity. The results reveal that AI applications significantly enhance yield optimisation through advanced remote sensing and machine learning algorithms, improve supply chain transparency via blockchain and natural language processing, and support environmental compliance through satellite monitoring and emissions detection. Additionally, AI-driven automation aids labour management, addressing workforce challenges and operational efficiency. Despite these advancements, barriers such as low digital literacy among smallholders and infrastructure limitations persist, limiting widespread adoption. The study concludes that while AI and digital technologies hold transformative potential, comprehensive strategies incorporating technological innovation and capacity building are essential for inclusive sectoral development. Future research should focus on pilot implementations, socio-economic impact assessments, and the development of tailored solutions for smallholder integration to fully harness digital transformation benefits in the palm oil industry.</span></p> Loso Judijanto Copyright (c) 2025 Loso Judijanto https://creativecommons.org/licenses/by/4.0 2025-08-01 2025-08-01 1 13 10.62836/jitp.2025.431