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This article explores the application of Islamic ethics, particularly the concept of tawhid, in the development of digital technologies and artificial intelligence (AI). The study employs a qualitative descriptive method based on a literature review to analyze Islamic principles, such as justice (al-'adl), trust (amanah), and public benefit (al-maslahah), in addressing ethical challenges posed by AI. The findings indicate that Islamic values can provide a holistic framework for tackling algorithmic bias, privacy concerns, and social inequalities associated with AI. However, the study identifies a gap in academic research regarding the integration of tawhid principles with AI development. A limitation of this research is the lack of empirical case studies to test the effectiveness of implementing these principles in technology development.

The development of Artificial Intelligence (AI) has brought significant changes to the field of translation, offering ease and efficiency in the translation process. However, its use raises various ethical issues that need to be regulated through a clear code of ethics. This study discusses the Code of Ethics for the Use of AI in Translation, encompassing key principles such as accountability, transparency, privacy, fairness, and cultural respect.The code of ethics aims to optimize AI's potential while minimizing  negative impacts, such as algorithmic bias, loss of cultural meaning in translations, and the declining role of human translators. Through literature reviews and case studies, this research recommends steps such as regular AI system audits, human-AI collaboration, and compliance with data privacy laws. By implementing this code of ethics, the use of AI in translation is expected to operate responsibly, support linguistic diversity, and uphold professional standards in the field of translation.

This study examines the application of Immanuel Kant's ethical principles in the use of autonomous technology based on Artificial Intelligence (AI) in the academic domain. AI technology has significantly impacted academic efficiency and innovation but has also raised serious ethical challenges, such as algorithmic bias, dependency on technology, and threats to privacy and transparency. Using a Kantian ethical approach, this research identifies key issues and proposes an ethical framework that places justice, transparency, and respect for human dignity at the core of the design and implementation of autonomous technologies. The findings indicate that algorithmic bias can exacerbate academic inequities, while excessive reliance on AI risks diminishing the critical and creative capabilities of academics. Additionally, privacy and accountability in the management of academic data emerge as major concerns requiring ethically grounded policy interventions. This study also highlights the need for a new paradigm ensuring that autonomous technologies uphold humanistic values in academic settings, such as inclusivity, intellectual autonomy, and justice.

In the era of artificial intelligence (AI), technology is growing rapidly and changing the way businesses are run. AI enables automation, big data analysis, and increased operational efficiency. However, this development also raises various ethical issues that companies need to pay attention to so as not to harm consumers, society, and the environment. This study explores the paradigm of artificial intelligence in the context of business ethics, focusing on its impacts, challenges, and potential benefits in the business world. This study uses a systematic literature review approach from various reputable sources. The article criteria include literature published from 2019 to 2024 with the theme of business ethics in the AI era, and other articles relevant to this study. Based on the search, 15 articles were determined that were relevant to the predetermined criteria. The results of the study found that in this study, AI is not only a technical tool to improve operational efficiency, but is also able to redefine business ethics in the modern era. AI offers great potential to overcome traditional ethical challenges and create new paradigms in business decision making. However, this opportunity is also accompanied by significant challenges, such as algorithmic bias, data privacy, and lack of regulation. This discussion will review the role of AI in business ethics, the benefits it brings, the challenges it faces, and the steps that can be taken to optimize the ethical use of AI.

Artificial Intelligence (AI) has increasingly become an integral component of modern education, offering significant opportunities to improve accessibility, efficiency, and personalized learning. This study explores students’ perceptions of AI in educational contexts, focusing not only on its practical benefits but also on ethical concerns, particularly regarding data privacy and social responsibility. Adopting a mixed-method design, the research collected data through surveys and classroom observations. The survey responses were analyzed using descriptive statistics to identify trends in perceptions, while observation notes were thematically coded to capture students’ real interactions with AI applications. The findings reveal that students generally exhibit a positive attitude toward AI, recognizing its potential to enhance learning experiences by making education more accessible and efficient. However, the study also highlights that concerns over data privacy and the potential misuse of information remain central issues. Moreover, a notable gap exists between students’ appreciation of the practical benefits of AI and their awareness of ethical dimensions such as algorithmic bias and digital responsibility. This imbalance suggests that while students are ready to embrace AI as a tool, they may not yet be adequately prepared to address the broader ethical implications of its use. The discussion situates these findings within the framework of digital ethics, emphasizing the need for education systems to integrate ethical literacy alongside technological skills. By doing so, schools and universities can ensure that students are both technologically competent and socially responsible. The study concludes that although AI is welcomed in educational settings, greater emphasis on digital ethics education is essential to maximize its benefits and minimize potential risks. This research provides a basis for future studies on policy development and ethical practices for AI in the classroom.

The rapid integration of Artificial Intelligence (AI) in education presents both opportunities and ethical challenges, especially for faith based institutions such as Christian schools. These institutions must balance technological innovation with their theological commitments. As AI becomes more embedded in educational environments, Christian educators face the challenge of integrating AI in a way that aligns with Christian values, human dignity, and relational teaching roles. This study explores how Christian moral teachings can guide the integration of AI into education, providing a framework for ethical AI use in Christian schools. Previous studies have highlighted the ethical concerns associated with AI, including algorithmic bias, data privacy, and the potential for AI to undermine relational teaching roles. Christian educational theology, which emphasizes values such as human dignity, justice, and fairness, offers a robust framework for addressing these concerns. A biblical worldview and the concept of Imago Dei (the image of God) provide theological foundations for integrating AI ethically in education, ensuring that AI tools enhance human centered learning rather than replace human educators. Additionally, literature suggests that ethical guidelines informed by Christian teachings can mitigate AI's ethical risks and promote a more inclusive and equitable educational environment. This study employs a mixed methods approach, combining qualitative and quantitative research methods. The qualitative phase involves document analysis and interviews with Christian educators and theologians to explore theological reflections on AI and its ethical implications.

The rapid adoption of artificial intelligence (AI) in e-commerce is revolutionizing the business landscape. This study explores the rise of AI-powered e-commerce and its impact on business models, strategies, and market dynamics in 2024. Through a multiple case study approach, focusing on leading e-commerce companies such as Amazon, Alibaba, and Shopee, the research reveals that AI is fundamentally transforming the way businesses operate in the digital economy. AI enables enhanced personalization, operational efficiency, and improved customer experiences, driving the emergence of new business models and competitive advantages. However, the adoption of AI also creates significant challenges, including implications for the workforce, ethical concerns surrounding data privacy and algorithmic bias, and potential impacts on market dynamics and competition. The study highlights the need for a strategic and ethical approach to AI adoption, collaboration among stakeholders, and adaptive regulatory frameworks. It concludes with recommendations for businesses, policymakers, and future research to navigate the transformative impact of AI in e-commerce. The findings contribute to the literature on digital transformation and disruptive innovation, offering valuable insights for managers, practitioners, and researchers.

The rapid advancements in Artificial Intelligence (AI) have raised significant ethical concerns across various sectors, necessitating the need for robust ethical frameworks to guide their development and implementation. This study explores the intersection of AI ethics and Islamic law, focusing on how Maqāṣid al-Sharīʿah, the higher objectives of Islamic law, can be applied to AI governance. By examining key Islamic principles such as justice, transparency, privacy, and human dignity, the study investigates how these values can provide a moral compass for addressing AI-related ethical challenges, such as algorithmic bias, privacy violations, and the erosion of human autonomy. The Maqāṣid al-Sharīʿah framework offers a proactive and vision-oriented approach, prioritizing societal well-being while ensuring the alignment of AI technologies with Islamic moral standards. Unlike traditional Islamic legal responses, which are often reactive and case-specific, the Maqāṣid approach promotes the anticipatory evaluation of technologies, emphasizing the need for a balance between technological innovation and ethical responsibility. The paper also discusses potential solutions to bridge the gaps between global AI ethics frameworks and Islamic ethical standards, including interdisciplinary collaboration and the development of hybrid regulatory models. Additionally, it highlights the need for continuous updates to Islamic legal frameworks to address emerging technological issues, ensuring that AI systems are ethically sound, Shariah-compliant, and beneficial to society. This study aims to contribute to the growing discourse on the ethical implications of AI from an Islamic perspective, offering insights into how Islamic law can play a crucial role in shaping the future of AI governance.

This study examines the impact of artificial intelligence (AI) on the dynamics and ethics of the workplace environment at PT COLAB PROSPERITY JAYA, a company engaged in the coconut product export industry. Using a qualitative approach, this research involved in-depth interviews with employees at various levels to explore how AI affects work efficiency, decision-making, ethical issues, and employee interactions. The results indicate that AI improves efficiency and supports decision-making with accurate data. However, there are serious ethical concerns, especially regarding data privacy and algorithmic bias. Furthermore, although AI facilitates task management, it also has the potential to reduce social interactions that are crucial for creativity and teamwork. This study suggests the need for stronger policies and ethical training to ensure that AI is integrated in a responsible and fair manner, emphasizing the importance of balancing the benefits of technology with human values in the development and application of AI in the workplace.

In the era of Big Data, securing sensitive information and ensuring data integrity have become paramount concerns due to the unprecedented volume and intricacy of data. Traditional security algorithms face significant challenges in adapting to the distinct characteristics of Big Data. This literature review explores the evolution of data security algorithms tailored explicitly for the Big Data landscape, aiming to address the increasing demand for robust security solutions capable of handling the unique challenges posed by the massive scale and complexity of data. By scrutinizing existing literature, the review unveils advancements, trends, and innovations developed by researchers and practitioners to mitigate vulnerabilities associated with handling vast datasets. The review also sheds light on emerging technologies and cryptographic techniques specifically designed for Big Data security, contributing to enhanced confidentiality, integrity, and availability in the face of evolving cyber threats. While these developments offer advantages such as improved data protection and threat detection, the review highlights challenges, including algorithmic bias, computational complexity, privacy trade-offs, and a shortage of skilled workforce. By considering these factors and emphasizing continuous improvement and ethical considerations, organizations can responsibly leverage data security algorithms to enhance information security in the era of Big Data.

This study is a qualitative literature review aimed at exploring the challenges and opportunities of integrating generative artificial intelligence (GAI) in human resource management (HRM) practices. GAI, as an advanced technology, holds significant potential to enhance operational efficiency in HRM through the automation of administrative tasks, improved accuracy in performance evaluations, and the development of more interactive and adaptive employee training. However, its implementation also faces several challenges, including employee resistance to change and the unpreparedness of technological infrastructure. Furthermore, ethical issues such as algorithmic bias in recruitment processes are a major concern, potentially exacerbating inequities if not properly monitored. This research identifies that the success of integrating GAI into HRM depends on the organization’s readiness to address technological and ethical challenges, as well as the importance of careful planning. The findings provide valuable insights for organizations in designing effective strategies for GAI integration to improve performance and organizational dynamics while addressing potential risks.