Aug 2026· Al-Farooq Journal of Sciences· Vol 2, pp. 1841-1849· 0 citations· 2 references
TL;DR
A comprehensive model for integrating ethical standards into the phases of the Software Development Life Cycle (SDLC) is proposed, founded on the pillars of fairness, transparency, accountability, and sustainability, offering practical recommendations aimed at developers, organizations, and policymakers.
Abstract
The integration of Artificial Intelligence (AI) into software systems has witnessed rapid evolution, yielding substantial benefits for society; however, it has concurrently given rise to serious ethical challenges. This paper explores the necessity of adopting the concepts of "Ethical AI" and "Responsible Software Development" to ensure the alignment of technological innovations with human values and societal well-being. The study examines prominent issues such as lack of transparency, privacy infringement, and environmental impacts, emphasizing the urgent need for frameworks to govern the practices of developing and deploying AI systems. Drawing upon previous studies and industrial policies, the paper proposes a comprehensive model for integrating ethical standards into the phases of the Software Development Life Cycle (SDLC). This model is founded on the pillars of fairness, transparency, accountability, and sustainability, offering practical recommendations aimed at developers, organizations, and policymakers. By presenting this systematic approach, the paper aims to enrich the ongoing discourse on AI ethics, build trust, and promote inclusivity and sustainable societal benefit
Artificial Intelligence (AI) is rapidly entering scientific research programmes on the assumption that the established ethical frameworks are enough to address failure risks. But that assumption is wrong: AI systems are structurally different from the tools that conventional research ethics was designed to govern. As illustrated by mainstream models, AI systems can be characterized by being stochastic, opaque, resource-intensive, and operate at population scale, meaning that ethical breaches can extend far beyond individual research projects, with potential consequences for public trust in democratic institutions. Taking the case of EU research as reference, this paper proposes the ARCHON framework,a set of ten requirements derived from the technical architecture of AI systems, to facilitate ethical compliance of scientific research for experts and practicioners engaging in roles such as proposal evaluators, project officers, ethics board members, or research administrators. The paper includes a mapping table intended to facilitate the application of the framework to evaluate ethical compliance, both for specific projects and general research programmes. Applied consistently, the ARCHON framework enables substantive rather than merely declarative AI ethical compliance, contributing this way for scientific research policy to continue addressing societal needs while remaining democratically accountable.
Jesus Manuel Benitez Baleato· Open Research Europe· 0 citations
This article explores the evolution of artificial intelligence governance in the European Union, focusing on the shift from regulatory compliance toward ethics-by-design. While the EU Artificial Intelligence Act establishes a comprehensive risk-based framework, the study argues that compliance alone is insufficient to address deeper ethical challenges related to human autonomy, dignity, fairness, and power asymmetries in algorithmic systems. The article conceptualizes ethics-by-design as a form of operational normativity that embeds ethical principles directly into the lifecycle of AI systems. It identifies key mechanisms for such integration, including ethical impact assessments, algorithmic auditing, transparency tools, and human oversight. At the same time, it highlights challenges such as translating abstract values into technical practices and avoiding superficial formalization. The study concludes that ethics-by-design is a necessary condition for the legitimacy of AI governance in the EU. By integrating ethical reasoning into system design, it becomes possible to bridge the gap between legal compliance and substantive justice, reinforcing a human-centric model of digital governance.
T. Hajiyev· Baltic Journal of Legal and...· 0 citations
Integrating artificial intelligence (AI) into architectural design introduces significant opportunities for innovation but raises profound ethical challenges related to data privacy, algorithmic bias, professional accountability, and environmental issues. This study contributes to understanding its ethical implications. A survey of architecture master’s students at European universities explores attitudes towards AI’s role in design processes, its potential benefits, and perceived risks. Key findings reveal a strong and consistent preference for AI as a supportive tool that augments rather than replaces human creativity and professional decision-making. Participants emphasised the importance of safeguarding privacy, eliminating bias, and ensuring transparency and accountability in AI systems. This paper also proposes an ethical framework for integrating AI into architectural practice, advocating for balanced and inclusive approaches that prioritise societal values, environmental stewardship, and professional integrity. These findings offer empirical evidence and practical ethical guidance for architects, educators, researchers, professional organisations and policymakers who seek to support the responsible integration of AI into architectural practice while upholding principles of transparency, accountability, fairness, privacy and sustainability.
M. Kurcjusz, A. Stefańska, N. Cortiços et al.· AI and Ethics· 0 citations
The growing use of Artificial Intelligence (AI) makes the implementation of ethical principles for its development and application a pressing issue worldwide. This concern is particularly urgent for African countries, which, while having significant potential for growth in the AI sphere, are currently in the early stages in terms of introducing ethical principles of AI use and development which play a crucial role in facilitating sustainable development. In this context, the central question is how technological opportunity can be harnessed to support AI innovation grounded in integrity across African ecosystems. Creating favorable conditions for promoting the ethical development and use of AI on the African continent should be based on the coordinated efforts of all stakeholders. A strategy in this area should be multi-faceted in nature and could include the development of a unified set of ethical principles (and the establishment of voluntary standards based on them), specialized training programs, company certification and the provision of additional incentives by international organizations, as well as national governments. These measures can support responsible AI adoption while helping African countries translate ethical principles into governance practices that are both internationally aligned and responsive to local realities.
Andrey Ochepovsky, Yuliya Shlychkova, Gladys Yiadom· 2026 ITU Kaleidoscope - AI a...· 0 citations
Artificial Intelligence (AI) is increasingly embedded in economic systems, public administration and social life across all regions. While AI offers significant opportunities for innovation and sustainable development, it also raises complex regulatory, governance and ethical challenges. This paper examines emerging approaches to AI regulation, governance mechanisms and ethical operationalization, with particular attention on the perspectives and priorities of India and the Global South. The paper reviews risk-based regulatory models, governance of high-impact and autonomous AI systems, the role of technical standards and digital public infrastructure, and the translation of ethical principles into implementable requirements. It submits that effective AI governance requires adaptive, interoperable and development-oriented frameworks that balance innovation with safeguards for human rights, inclusion and sustainability. The paper concludes by outlining policy directions to strengthen national and international cooperation to ensure that AI development contributes to equitable and inclusive outcomes.
Rajesh Kumar Pathak, O. P. Gupta, Misha Kapoor et al.· 2026 ITU Kaleidoscope - AI a...· 0 citations
As Artificial Intelligence (AI) is incorporated into the workflow, several ethical issues and risks which can cause actual harms are being introduced. Despite the well-established frameworks of ethical AI principles, there are few practice-oriented approaches for structured interdisciplinary assessment of the ethical aspects associated with AI use and design. To supply the principles and address the increasing focus on AI-risks from an ethical perspective, an Ethical risk assessmeNt of Ai iN pracTice (ENACT) methodology is proposed. To develop ENACT together with a cross-sectoral, interdisciplinary consortium of Norwegian private and public businesses, the core principles of Design-Based Research (DBR) were applied including real context orientation, collaborative partnership and focus on testing and multiple interactions. Four aspects of the ENACT methodology were collaboratively developed and tested and are proposed in this paper including format, structure, scope and support tools. This paper describes and details three steps of the ENACT methodology and discusses its potential and limitations for qualitative ethical risk assessment of AI in organisational settings.
N. Murashova, Leonora Onarheim Bergsjø, Heidi Dahl et al.· Nordic Machine Intelligence· 0 citations