An Information Ethics Framework Based on ICT Platforms

The general objective of the research was to determine the advances related to the Ethics of Artificial Intelligence. The most powerful countries are investing large amounts of economic resources in the development of artificial intelligence. Methodology, in this research, 49 documents have been selected, carried out in the period 2018 - 2023; including: scientific articles, review articles and information from websites of recognized organizations. Results, the ethics of artificial intelligence is supported by various countries. Furthermore, ChatGPT is considered a major threat in the automation of academic document preparation. Conclusions, about the general objective of the research is to determine the advances related to the Ethics of Artificial Intelligence, it is important to consider the transparency and risks of applying AI. In addition, consider ethical aspects such as the Recommendation on the Ethics of Artificial Intelligence was adopted by UNESCO's General Conference at its 41st session. The European Union (EU) is considering a new legal framework about regulations on the development and use of artificial intelligence. ChatGPT is an AI tool that needs to be carefully evaluated for its impact on education and other human activities. About the first specific objective of the research was to identify the countries that invest the most money in artificial intelligence, there are Japan, Singapore, China, India, Russia, Australia, Unite States of America, and the European Union. About the second specific objective of the research was to determine the risks and requirements of artificial intelligence, the risks are black-box models, privacy violations, bias and discrimination and the requirements are algorithmic transparency, human understandable explanations, privacy-preserving algorithms, data cooperatives, algorithmic fairness.

Artificial Intelligence (AI) is rapidly changing every aspect of our society—including amplifying our biases. Fairness, trust and ethics are at the core of many of the issues underlying the implications of AI. Despite this, research on AI with relation to fairness, trust and ethics in the information systems (IS) field is still scarce. This panel brought together academia, business and government perspectives to discuss the challenges and identify potential solutions to address such challenges. This panel report presents eight themes based around the discussion of two questions: (1) What are the biggest challenges to designing, implementing and deploying fair, ethical and trustworthy AI?; and (2) What are the biggest challenges to policy and governance for fair, ethical and trustworthy AI? The eight themes are: (1) identifying AI biases; (2) drawing attention to AI biases; (3) addressing AI biases; (4) designing transparent and explainable AI; (5) AI fairness, trust, ethics: old wine in a new bottle?; (6) AI accountability; (7) AI laws, policies, regulations and standards; and (8) frameworks for fair, ethical and trustworthy AI. Based on the results of the panel discussion, we present research questions for each theme to guide future research in the area of human–computer interaction.

Purpose This study analyzes China’s strategic initiatives in metaverse and artificial intelligence (AI) development, examining their impact on academic research, industry innovation, and policy formulation. It aims to understand how government policies and investments have shaped research agendas and to identify challenges and opportunities in these fields. Design/methodology/approach The research employs a comprehensive analysis of government documents, funding schemes, and research output. It examines key policies, investment programs, and academic publications to track trends in metaverse and AI development in China. The study utilizes bibliometric analysis to assess publication trends, citation patterns, and international collaboration networks. Findings China’s proactive approach, characterized by strong government support and significant private sector investment, has led to a substantial increase in research output and quality in metaverse and AI fields. Chinese institutions have become major contributors to global publications, with growing citation rates and presence at international conferences. The research identifies emerging challenges in privacy, ethical AI development, and digital divide concerns. Practical implications The findings provide insights for policymakers, researchers, and industry stakeholders on the development trajectory of metaverse and AI technologies in China. They highlight the need for balanced approaches to innovation, regulation, and ethical considerations in these rapidly evolving fields. Social implications The study underscores the potential of metaverse and AI technologies to transform various sectors of society, from education and healthcare to entertainment and social interactions. It emphasizes the importance of addressing digital equity and ethical AI deployment to ensure broad societal benefits. Originality/value This research offers a comprehensive overview of China’s approach to metaverse and AI development, providing a unique perspective on the interplay between government initiatives, academic research, and industry innovation. It contributes to the broader discussion on the global development of these transformative technologies and their implications for future technological landscapes.

The development of contemporary robotics—ranging from social assistive robotics (SAR), carebots, and human–robot interaction (HRI) to brain–computer interfaces (BCI) that control robotic arms—is increasingly intertwined with the human body, emotions, and social life, thereby heightening the risk of ethical violations at both the design and research levels. At the same time, the literature on robot ethics and general AI ethics is growing very rapidly but tends to be fragmented and difficult to operationalize for the engineering community. This article aims to present a critical narrative review of how ethical violations emerge in contemporary robotics research and how AI/robot ethics frameworks can be used to interpret and address them. Methodologically, this review adopts a narrative synthesis approach to fifteen selected articles (2020–2025), which are mapped into three relational categories: robot ethics (R), general AI ethics (A), and the intersection of robot–AI ethics (R ∩ A). The analysis is carried out thematically and comparatively by linking the columns on rationale, aims–scope, and main ethical focus to answer three research questions (RQ1–RQ3) related to cases, frameworks, and an integrative model of ethical violations.The findings show that violations and high-risk practices manifest in the form of deception and manipulation of trust in carebots and HRI, problematic BCI testing designs, and structural harm to vulnerable groups through AI policies and infrastructures. On the other hand, frameworks such as disability justice, Sustainable AI, eco-relational ethics, critiques of principled ethics and benchmarking, as well as the concept of care robot literacy provide powerful lenses to classify and critique these cases beyond the micro level of interaction. In conclusion, ethical violations in robotics research must be understood as multi-layered phenomena that connect micro-level interaction, meso-level governance, and macro-level structures. The implication is that engineers and researchers need to integrate contextual, participatory, and structural ethical evaluation into the design, experimentation, and reporting cycles of robotics research.

Technological advancements in the twenty-first century, invigorated by the exponential growth of artificial intelligence (AI) technology, have ushered in a new era that provides many of us with amenities and comforts that were hitherto unattainable. But behind this progressive rhetoric of neo-liberalism, capitalism, and post modernism, artificial Intelligence development has also sparked an increasingly ambiguous ethical future, especially at the level of privacy, manipulations and others. This article provides a concise analysis of the concept of Maqasid al-Shari’ah and its relevance to AI ethics. This paper attempts to investigate the ethical contemporary challenges posed by the advancement of AI from the perspective of Maqasid-al-Shari’ah and ethic-based approaches. In this study, the qualitative approach was used to clarify the importance of Maqasid Al-Shari’ah and the ethics of artificial intelligence in light of the ongoing contemporary challenges. The article contends that Artificial Intelligence poses weighty ethical challenges related to privacy, manipulation and others which are vital values in Maqasid Al-Shari’ah. The paper concludes that ethical considerations should be incorporated into the development and usage of Artificial Intelligence. The paper paves the way future attempts to analyse alternative ethical paradigms for Artificial intelligence in general, based on a comprehensive Islamic ethic-based approach founded within the context of maqasid which can represent a constructive contribution to the worldwide discourse on the ethics of Artificial Intelligence.

The gap between the high-level normative ethical principles aiming at guiding the development and the implantation of responsible artificial intelligence (AI) technologies, and the concrete application and practices of AI ethics in organizations is large and there is an urgent need for moving the discussion about AI ethics from theory to practicality. Building that bridge between knowing and doing in AI ethics is now a necessity to assist organizations into supporting the responsible development and use of AI. Therefore, the goal of this scoping review is to explore the relevant literature providing guidance on the matter of AI business ethics strategies and practices in organizations. From 490 unique results, 352 relevant documents were identified at this early stage of this scoping review in progress (title and abstract screening). After the next rounds of full-text screening, topics will be extracted from the included literature and summarized across different strategies and practices that will be at the core of this review. By keeping the focus on the actionability and practicability of the provided recommendations, following a pluralistic vision of ethics, this study will not only contribute to the advancement of knowledge and practice in AI ethics, but also increase the likelihood of AI ethics to be embedded in practice in organizations. Accordingly, the main goal of this paper is to provide a concrete answer to the question: What are the strategies, practices and practical solutions aiming at bridging the gap between principled and applied AI ethics in organizations proposed in the literature?KeywordsEthics of AIArtificial intelligenceEthics toolsApplied ethicsFormalization of ethicsBusiness ethics practicesAI ethics as practiceScoping review

This paper argues that the field of artificial intelligence (AI) ethics needs to give more attention to the values and interests of nonhumans such as other biological species and the AI itself. It documents the extent of current attention to nonhumans in AI ethics as found in academic research, statements of ethics principles, and select projects to design, build, apply, and govern AI. It finds that the field of AI ethics gives limited and inconsistent attention to nonhumans, with the main activity being a line of research on the moral status of AI. The paper argues that nonhumans merit moral consideration, meaning that they should be actively valued for their own sake and not ignored or valued just for how they might benefit humans. Finally, it explains implications of moral consideration of nonhumans for AI ethics research and practice, including for the content of AI ethics principles, the selection of AI projects, the accounting of inadvertent effects of AI systems such as via their resource and energy consumption and potentially certain algorithmic biases, and the research challenge of incorporating nonhuman interests and values into AI system design. The paper does not take positions on which nonhumans to morally consider or how to balance the interests and values of humans vs. nonhumans. Instead, the paper makes the more basic argument that the field of AI ethics should move from its current state of affairs, in which nonhumans are usually ignored, to a state in which nonhumans are given more consistent and extensive moral consideration.

Artificial intelligence (AI) ethics is undergoing a practical shift towards putting principles into design practices in developing responsible AI. While this practical turn is essential, this paper highlights its potential risk of overly focusing on addressing issues at the level of individual artifacts, which can neglect more profound structural challenges and the need for significant systemic change. Such oversight makes AI ethics lose its strength in addressing some hidden, long-term harms within broader contexts. In this paper, we propose that the reflection on structural issues should be an integral part of AI ethics. To achieve this, we develop a multi-level framework to analyze socio-ethical issues of AI at both the artifact and broader structural levels. This framework can serve as a potentially transformative approach to uncover some unspoken assumptions in current AI ethics discourses and expose some blind spots in AI guidelines, policies, and regulations. Our paper paves the way to develop a practical approach that can effectively integrate this multi-level framework into real-world AI design and policymaking, ultimately bringing about transformative change.

This study is motivated by the growing discourse on artificial intelligence (AI) ethics that has not yet been fully operationalized in practice, particularly in the health and education sectors in the era of generative AI. It aims to synthesize the literature on the operationalization of AI ethics in order to propose a new governance model that is more adaptive and context-sensitive. A structured thematic synthesis was conducted on peer-reviewed studies published between 2020 and 2025. The analysis reveals a central paradox: a strong global consensus on the principles of justice, transparency, accountability, and privacy stands in stark contrast to significant gaps in their implementation. The emerging challenges are highly context-dependent: in the health sector, they center on technical safety and relational accountability, whereas in the education sector they are more closely related to epistemic integrity and equitable access. The advent of generative AI exacerbates these issues by introducing new systemic risks, such as large-scale hallucinations and an increasingly profound crisis of clarity. In response to the limitations of static compliance-based approaches, this study proposes the Adaptive and Layered AI Governance Model (ALAIGoM), a model of adaptive and layered AI governance that integrates operationalized ethical principles, multi-level governance structures, and a continuous ethics life cycle to enable context-sensitive, adaptive oversight. The model is grounded in proactive trust-building, human-centered design, and mechanisms that ensure acceptability. Overall, this study offers a coherent roadmap for reconfiguring AI ethics from a mere normative checklist into an embedded, adaptive, and responsive governance process.

This article dives into the ethical complexities of Artificial Intelligence (AI). It starts by laying the groundwork, defining both ethics and morality, and emphasizing how ethical principles can evolve over time.Next, it explores "applied ethics," which examines real-world dilemmas like genetic engineering, AI's impact on jobs, and environmental concerns. From there, it shifts its focus specifically to AI ethics, differentiating between two key aspects the Ethics of AI where broader framework considers ethical issues surrounding AI development, encompassing concerns like transparency, data security, privacy, and accountability and in Ethical AI where the concept focuses on building AI systems with the ability to make ethical choices. It emphasizes aligning these systems with ethical values, minimizing bias, and fostering user trust. The article delves deeper into specific ethical concerns in the AI landscape, such as transparency, data privacy, and issues of autonomy, intentionality, and responsibility. It explores their relevance and the challenges they pose for AI development. Furthermore, it examines the social implications of these ethical concerns. Key areas examined include automation and job displacement, equitable access to technology, and the potential impact of AI on democratic principles and civil liberties. The article highlights the potential consequences of AI-driven automation on employment, the need for inclusive digital access, and the importance of ethical considerations in governance and citizen rights amidst the growing influence of AI. The article serves as a comprehensive guide to understanding the ethical dimensions of AI. It covers fundamental ethical concepts, specific AI ethics considerations, the importance of building ethical AI systems, and the challenges and societal impacts of AI development. It's a valuable resource for anyone seeking to understand the ethical landscape surrounding Artificial Intelligence.

This study examines the ethical dimensions of artificial intelligence (AI) and explores the awareness and understanding of how users interact with AI and the potential consequences of these interactions. In recent years, growing awareness of the risks of AI has driven the development of ethical guidelines by various organizations. These guidelines aim to ensure that AI is developed and deployed in a responsible manner, with a focus on human well-being, societal benefits and minimizing risks. However, despite this global movement, there is a lack of consensus on key ethical issues such as bias, discrimination, privacy and human rights issues. The study focuses on the perceptions of 127 participants from 11 countries with diverse professional backgrounds in technology, education and finance. A survey with a 5-point Likert scale was used to assess participants’ attitudes towards AI ethics in relation to various topics such as transparency. The study examines differences in responses across professions and countries using Multivariate Analysis of Variance (MANOVA) test. The results reveal variations in ethical priorities, suggesting that while global ethical frameworks are emerging, further efforts are needed to achieve uniformity in AI ethical standards. The findings emphasize the importance of increasing awareness and understanding of AI ethics to mitigate potential harms.

Ethics plays a key role in the normative analysis of the impacts of technology. We know that computers in general and the processing of data, the use of artificial intelligence, and the combination of computers and/or artificial intelligence with robotics are all associated with ethically relevant implications for individuals, groups, and society. In this article, we argue that while all technologies are ethically relevant, there is no need to create a separate ‘ethics of X’ or ‘X ethics’ for each and every subtype of technology or technological property—e.g. computer ethics, AI ethics, data ethics, information ethics, robot ethics, and machine ethics. Specific technologies might have specific impacts, but we argue that they are often sufficiently covered and understood through already established higher-level domains of ethics. Furthermore, the proliferation of tech ethics is problematic because (a) the conceptual boundaries between the subfields are not well-defined, (b) it leads to a duplication of effort and constant reinventing the wheel, and (c) there is danger that participants overlook or ignore more fundamental ethical insights and truths. The key to avoiding such outcomes lies in a taking the discipline of ethics seriously, and we consequently begin with a brief description of what ethics is, before presenting the main forms of technology related ethics. Through this process, we develop a hierarchy of technology ethics, which can be used by developers and engineers, researchers, or regulators who seek an understanding of the ethical implications of technology. We close by deducing two principles for positioning ethical analysis which will, in combination with the hierarchy, promote the leveraging of existing knowledge and help us to avoid an exaggerated proliferation of tech ethics.

The advancement of artificial intelligence (AI) has brought significant changes to human life in various aspects, including the economy, society, and culture. What is concerning is that, without clear value and ethical controls, AI has the potential to disrupt the balance of humanity and human development. In Islam, humans are entrusted as khalifah (vicegerents) to develop and prosper the earth based on principles outlined in the Qur’an and Hadith. This article discusses how the Islamic principle of khalifah can serve as a foundation for human development in the era of artificial intelligence (AI) by identifying the concept of khalifah from an Islamic perspective and evaluating the impact of AI development on human growth. Furthermore, this study proposes a framework for AI development based on khalifah principles. The advancement of AI technology requires guidance grounded in values and ethics to ensure human well-being and environmental balance. This study employs a qualitative approach through library research on primary and secondary sources related to the concept of khalifah, human development, and ethical issues of AI in the contemporary context. The article proposes the integration of maqasid shariah and the khalifah principle as an Islamic ethical framework in the development and use of AI.

The increasing deployment of artificial intelligence (AI) in e-commerce has enabled the emergence of delegated commerce, wherein consumers authorize AI agents to autonomously execute purchase and payment decisions. While such systems promise convenience, efficiency, and personalization, their widespread adoption remains constrained by unresolved issues of consumer trust, particularly in financially consequential contexts. Prior research has largely examined general AI acceptance or human-AI interaction, offering limited insight into the specific conditions under which consumers are willing to delegate economic decision authority to AI agents. This paper proposes a multidimensional conceptual framework for understanding consumer trust in delegated commerce. Drawing on an interdisciplinary synthesis of trust theory, consumer behavior, AI ethics, and regulatory scholarship, the framework articulates trust as a conditional and context-dependent construct shaped by perceived risk, transparency, control mechanisms, system infrastructure, personalization, and liability arrangements. To ground and refine the framework, the study incorporates illustrative insights from expert interviews spanning AI development, e-commerce, psychology, ethics, and user experience. Rather than empirically validating trust determinants, the study aims to clarify core constructs, delineate boundary conditions across transaction risk and delegation levels, and surface key governance challenges specific to AI-mediated purchase and payment decisions. The proposed framework offers a structured foundation for future empirical research and provides practical guidance for designers and policymakers seeking to support responsible, trustworthy deployment of autonomous commerce systems.

The rapid advancement of artificial intelligence (AI) has revolutionized the accounting profession, automating tasks, identifying patterns, and improving accuracy. However, the increasing reliance on AI raises ethical concerns regarding privacy, bias, transparency, and accountability. This research paper delves into the ethical considerations of AI implementation in accounting practices.Thepaper begins by examining the potential benefits of AI in accounting, highlighting its ability to streamline operations, enhance efficiency, and reduce errors. However, it also acknowledges the ethical risks associated with AI, including data privacy breaches, biased decision-making, lack of transparency, and accountability issues.The paper proposes a framework for responsible AI implementation in accounting to address these ethical concerns. The framework emphasizes establishing clear ethical guidelines,ensuring data privacy and security, mitigating AI algorithms' bias, promoting AI decisionmaking transparency, and establishing accountability mechanisms.The paper further explores the role of accountants in addressing AI ethics. Accountants are responsible for upholding ethical standards and ensuring that AI systems are used responsibly and ethically. They must be aware of the ethical implications of AI and have the knowledge and skills to mitigate ethical risks.In conclusion, the paper emphasizes the need for a proactive approach to AI ethics in accounting. By establishing clear ethical guidelines, promoting responsible AI implementation, and empowering accountants with ethical knowledge and skills, the accounting profession can harness the potential of AI while upholding ethical principles and safeguarding public trust.