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65 articles for “Transparency”
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A Study on “Clean" in Beauty: A Machine LearningApproach to Ingredient Transparency and ConsumerTrust
Abstract: The burgeoning "clean beauty" market, while driven by consumer demand for safer and more sustainable products, is plagued by ambiguous definitions and the pervasive challenge of "greenwashing". This ambiguity hinders informed consumer choices and complicates brand authenticity. This study addresses these complexities by developing a novel machine learning (ML) framework designed to objectively analyze cosmetic ingredient lists, classify products based on their "cleanliness" profile, and identify key ingredient attributes that …
Published in Recent Trends in Cosmetics · Vol. 3, Issue 1, 2026 · pp. 1–12 Read article
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Labeling transparency and heavy metal contamination in commercial protein powders: A case study
Abstract: With the recent surge in market demand, health supplements particularly protein powders, have become increasingly vulnerable to quality deterioration, adulteration, and unethical marketing practices. Non-compliance with labeling regulations is on a rise. Moreover, research indicates that heavy metals absorbed from contaminated soil often accumulate in the protein fractions of crops, thereby elevating the risk of heavy metal contamination in protein powders. These issues highlight the urgent need to systematically assess …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 Read article
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Unveiling Fairness: A Quest for Ethical Artificial Intelligence and Bias Mitigation
Abstract: Artificial intelligence (AI) systems have become ubiquitous across areas like finance, healthcare, employment, and criminal justice. However, they suffer from issues of unfair bias, lack of transparency, and broad ethical implications impacting vulnerable societal groups disproportionately. This paper reviews key challenges around AI ethics and bias while proposing data-driven guidelines mitigating such algorithmic harms through rigorous statistical testing, predictive modeling ensembles adjusting distortion vectors and AI audits by domain experts …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 28–31 Read article
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AI Bias: Causes, Impacts, and Ways to Address It
Abstract: As artificial intelligence (AI) continues to permeate various aspects of society, from healthcare and criminal justice to finance and hiring, concerns over its ethical implications have gained increasing attention. A significant ethical concern is the existence of bias in AI systems. Such biases, often rooted in the prejudices present in training data, can lead to unfair and discriminatory consequences, disproportionately affecting marginalized groups. This paper examines the ethical challenges related …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 55–62 Read article
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Unveiling the Veil of Black Money Understanding Its Impact on Economic Stability and Policy Formulation in India
Abstract: The issue of black money has emerged as a critical concern for India, undermining economic stability and challenging the effectiveness of policy formulation. Black money, generated through unaccounted income and tax evasion, exerts a detrimental influence on multiple facets of the economy, including resource allocation, income distribution, and public trust in governance. This study examines the multifaceted impact of black money on India’s economic framework, highlighting its role in distorting …
Published in Recent Trends in Social Studies · Vol. 2, Issue 2, 2025 · pp. 1–10 Read article
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Addressing Accountability and Fair Practices in Labor Contracting for Sustainable Harvesting in the Sugar Industry
Abstract: This study promotes the use of blockchain technology to solve issues with labor data management in the sugar business. Through decentralized blockchain storage, the proposed solution protects the security and openness of labor data, with an emphasis on preventing unethical activity by contractors holding numerous simultaneous contracts. Smart contracts make it easier for contractors to register and keep track of engagements, which helps the sugar industry enforce contractual compliance and …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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Ethical Risks of Generative AI in Education: Challenges, Implications, and a Responsible Use Framework
Abstract: The rapid diffusion of generative artificial intelligence (AI) technologies in educational settings is reshaping how teaching, learning, and assessment are designed and enacted. Large language models and related generative systems offer powerful capabilities for content creation, personalized feedback, and instructional support, promising gains in efficiency and learner engagement. However, their growing use also introduces a complex set of ethical risks that challenge foundational educational values such as integrity, equity, transparency, …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 23–30 Read article
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Community Perception on Land Dispossession and Compensation Practices: Evidence from Gondar City, Northwest Ethiopia
Abstract: Land expropriation for urban expansion in the Gondar area significantly reduced farming households from 95%–74%, displacing 29% of affected farmers. While some acknowledged the public benefits, most respondents criticized the process for a lack of transparency, limited community involvement, and inadequate rehabilitation support. Farmers reported receiving compensation that was low, unfairly calculated, and subject to prolonged delays. Key systemic issues included a lack of awareness among affected communities, inconsistent knowledge …
Published in International Journal of Land · Vol. 3, Issue 1, 2026 · pp. 1–16 Read article
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Enhancing ABET Summative Direct Assessment with AI and Blockchain: A Framework for Personalized Learning and Secure Evaluation
Abstract: Accreditation Board for Engineering and Technology (ABET) emphasizes the achievement of specific measurable learning outcomes. However, conventional assessment methods often find it challenging to accurately capture the complexities of student learning and program effectiveness within the ABET framework. This study proposes a novel framework that enhances ABET summative direct assessment by integrating a carefully structured, weighted assessment system with the transformative potential of artificial intelligence (AI) and blockchain technologies. The …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 28–42 Read article
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Blockchain Powered Online Voting for Modern Democracy
Abstract: The use of information technology is revolutionizing governmental services and democracy. Electronic voting, or Online voting, is a symbol of modern democracy, but it's best when complied with existing legal and regulatory frameworks. Selecting leaders from a list is the process of voting, and in India, there are problems with improper voting during elections, untrained workers, unsafe polling places, and insufficient voting supplies. Blockchain technology provides a decentralized, unchangeable ledger …
Published in International Journal of Electronics Automation · Vol. 2, Issue 1, 2024 · pp. 14–19 Read article
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Unraveling the Dynamics of Carpet Area Measurement: Implications for Real Estate Development and Urban Planning
Abstract: Real estate development and urban planning depend on carpet area measurement for property valuations, regulation compliance, and buyer’s decision-making. In the past, the absence of a standard definition of carpet area often resulted in varying calculations of area and gave the buyers a short end of the stick as a product of mistrust. In India, the introduction of the Real Estate (Regulation and Development) Act (RERA) brought in a standardized …
Published in International Journal of Rural and Regional Development · Vol. 2, Issue 2, 2024 · pp. 21–30 Read article
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Healthcare IT Innovations: Blockchain Technology for Healthcare Data Security and Privacy
Abstract: The healthcare sector has undergone a significant digital transformation, leading to the generation and sharing of vast quantities of sensitive medical data. While this digitization has improved patient care and outcomes, it has also introduced critical challenges related to data security and privacy. The increasing rate of data breaches in healthcare puts patient confidentiality at risk, mainly leading to identity theft, financial fraud, and loss of public trust in healthcare …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 01–12 Read article
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The Economic Impact of Land Acquisition for Industrial Projects
Abstract: Land acquisition for industrial projects plays a crucial role in promoting economic development, yet it often leads to significant socio-economic challenges. In India, land acquisition is regulated under the Right to Fair Compensation and Transparency in Land Acquisition, Rehabilitation and Resettlement Act, 2013. While this legislation aims to ensure fair compensation, transparency, and proper rehabilitation for affected individuals, its implementation often faces significant hurdles. Prolonged administrative delays, ongoing legal battles, …
Published in International Journal of Land · Vol. 2, Issue 2, 2025 · pp. 17–24 Read article
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Ethical and Responsible AI: A Comprehensive Review of Principles, Methods, and Tools
Abstract: Quick development of artificial intelligence (AI) has revolutionized a number of industries, including healthcare, banking, and government, by providing creative answers to challenging issues. However, there are serious ethical issues with growing integration of AI into crucial decision-making processes, including prejudice, a lack of transparency, abuses of data privacy, and accountability gaps. A systematic strategy that incorporates technical solutions, legal frameworks, and ethical standards is needed to address these issues. …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 23–34 Read article
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A Novel Symmetric Anchor Scoring (SAS) Method for Industrial Location Selection: Application to Electric Vehicle Manufacturing in Tamil Nadu, India
Abstract: This work highlights the city-level detail of decision-making enabled by a new MCDM method Symmetry Anchor Scoring (SAS). Generally conventional methods are good at selecting one best and one worst alternative, but not differentiating among the many strong contenders more likely in practice. Linking MCDM methods to the tradition of decision making, the paper discusses the mathematics and analogical basis of SAS design, provides a visual proof of its ideal …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 8–19 Read article
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Weeding as a Sustainable Practice: Ethical Implications for Library Collection Management
Abstract: Libraries continually refine their collections to ensure they remain relevant, reliable, and representative of their users' needs. However, the process of weeding raises pressing ethical and environmental concerns. This study reframes weeding as a practice of ethical stewardship and sustainable collection management rather than a routine technical procedure. It introduces the Ethical-Sustainability Weeding Framework (ESWF), a conceptual model integrating ethical responsibility, Institutional transparency, and ecological accountability. The ESWF encompasses five …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 1, 2026 · pp. 13–19 Read article
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Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article
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A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Assessing Vitamin D Levels in Fortified Foods and Supplements for Infants and Its Impact: A Review
Abstract: In this study, the vitamin D levels in fortified foods (including follow-on formula, baby porridge, and curd cheese dessert) and dietary supplements designed for infants were examined. Analytical assessments uncovered variations in vitamin D concentrations compared to the labeled values, fortified foods contain anywhere from 50% to 153% for supplements 8% to 177%. Instant follow-on formula and oil-based supplements typically aligned with or surpassed the labeled values, whereas ready-to-eat baby …
Published in International Journal of Nutritions · Vol. 1, Issue 1, 2024 · pp. 19–24 Read article
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Blockchain Technology: Comprehensive Review and Future Directions
Abstract: Blockchain technology has emerged as a transformative power, restructuring sectors by offering increased security, transparency, and decentralization. This research paper serves as a comprehensive examination of blockchain, aiming to dissect its intricate structure, explore its myriad applications, confront existing challenges, and envision future advancements. At its core, the problem addressed herein is the imperative to comprehend the present landscape of blockchain technology, discern its limitations, and chart a course toward …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 33–38 Read article