Journal of Information, Technology and Policy

Exploring the Potentials of Artificial Intelligence and Digital Technologies in Transforming the Palm Oil Industry: A Review

Loso Judijanto — Fri, 01 Aug 2025 00:00:00 +0800

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.

Asylum Processing Algorithms and Epistemic Violence: A Review of AI’s Role in Refugee Status Determination

Loso Judijanto — Fri, 12 Sep 2025 00:00:00 +0800

The increasing use of Artificial Intelligence (AI) in asylum processing systems has raised significant ethical concerns, particularly regarding its impact on refugee status determination (RSD). AI technologies, such as machine learning and biometric recognition, are increasingly being employed to streamline asylum decision-making. However, there is a growing concern about the biases embedded in these systems and the potential for epistemic violence—the erasure of refugee voices in the decision-making process. This study aims to explore the role of AI algorithms in asylum processing, focusing on how they contribute to epistemic violence in refugee status determination. This research employs a qualitative literature review methodology, analysing a range of academic articles, reports, and case studies published over the past decade. The primary data collection method involves reviewing secondary data from peer-reviewed articles, government reports, and international organisations that focus on AI and asylum processing. Data analysis follows a thematic approach, identifying key trends, challenges, and ethical implications related to the implementation of AI in RSD processes. The results of this review reveal that AI systems often perpetuate biases based on race, gender, and nationality, leading to unfair outcomes for refugees. Additionally, AI’s inability to fully capture the complexity of refugee experiences contributes to epistemic violence, where the unique and personal stories of refugees are reduced to data points. In conclusion, AI has the potential to improve asylum processes but must be applied with caution. Future research should focus on the development of ethical AI frameworks and explore alternative approaches to ensure more inclusive and fair refugee status determination processes.

Generative AI and Journalism Ethics: Controversies over ChatGPT

Qingtao Liu — Thu, 10 Apr 2025 00:00:00 +0800

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.