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95 articles for “and fairness”
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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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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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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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Bias Detection and Accuracy Enhancement in Voice-based Banking Authentication Using Deep Learning
Abstract: Biometric systems have become an integral part of how many people access banking services today, and voice verification systems can be a secure and easy-to-use source of banking authentication that does not require any physical contact with the bank or any other person. From the security perspective, these systems would normally provide an effective means of identifying an individual but frequently exhibit bias with respect to demographics such as the …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 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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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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Effect of Carbonyl Iron Particle Concentration on The Printability and Stiffness of Magnetorheological Elastomer Filaments
Abstract: Magnetorheological elastomer (MRE) are increasingly valued for their field-responsive mechanical properties, making them ideal for adaptive components in automotive, aerospace, and vibration control systems. However, conventional mould-based fabrication methods limit design flexibility, produce excess material waste, and are unsuitable for complex or customized geometries caused challenges that have hindered broader industrial adoption. Although 3D printing offers a compelling alternative, research on printable MRE filaments remains limited, particularly regarding how carbonyl …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 310–317 Read article
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Ethical Challenges in Natural Language Processing: A Comparative Study of Solutions Across Multiple Domains
Abstract: This comparative analysis investigates the ethical challenges associated with natural language processing (NLP) by reviewing and synthesizing insights from ten influential and widely cited publications in the field. As NLP technologies are increasingly integrated into domains such as healthcare, finance, education, and governance, ethical concerns related to algorithmic bias, data privacy, fairness, accountability, and system transparency have become more prominent. This paper systematically examines how different researchers conceptualize and address …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 01–07 Read article
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The Pre-domestic Approach: Insights from Capsicum pubescens and Gallus gallus Essays
Abstract: Essays for the Pre-domestic Approach defined as organic, free-range and producer-consumer fair trade production of domesticated animals in association with plants of commercial relevance where the maximum potential of animal survival instinct thus genomic potential is favored by the producer have been carried out for Capsicum pubescens and Gallus gallus and an account of early results is presented for the reader. Although much research is required and will be carried …
Published in Research and Reviews : A Journal of Biotechnology Read article
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A Hybrid Algorithm for Processor Scheduling Using Game Theory Variants
Abstract: This study proposes a novel hybrid algorithm for processor scheduling in modern operating systems, integrating the strengths of traditional scheduling methods with game theory variants. Traditional schedulers often struggle to adapt to dynamic workload changes, leading to suboptimal performance. Our hybrid approach addresses this by treating processes as "players" in a game, where the "payoff" is CPU time. A base scheduler (e.g., Weighted Fair Queuing, Earliest Deadline First) provides a …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 48–56 Read article
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Mathematical Analysis of Supply Chain Implementation on Indian Automotive Sector: An Information Communication Based Approach
Abstract: Technology is rapidly and continually evolving. Implementation of E-Business Processes (EBPR) within Supply Chain Practices is required in order to maximize revenue and customer satisfaction. Adoption of technical instruments in Information-Technology (IT) inside the Supply-Chain Process (SCP) is necessary to acquire competitive advantages. In order to obtain a competitive advantage, supply chain professionals must use cutting-edge technology technologies. Supply chain managers are now under pressure in every industry to increase …
Published in E-Commerce for Future & Trends Read article
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Mystic Malignant Melanoma Modalities
Abstract: Melanoma is a highly aggressive form of cancer with four recognized subtypes. In about 90% of cases, melanoma is diagnosed as a primary tumor, without signs of spreading. If caught early, the survival rate is quite high, reaching around 94%. However, for metastatic melanoma, the survival rate drops significantly to about 40%. Diagnosing melanoma can be tricky, as it shares features with benign conditions like seborrheic keratosis, benign moles, blue …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 1–10 Read article
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Academia to Industry: The Impact of AI on Information Retrieval Technologies
Abstract: Artificial intelligence (AI) has significantly reshaped the field of information retrieval (IR), bridging theoretical advancements from academia with practical applications across various industries. This article explores the transformative impact of AI on IR technologies, highlighting key contributions from academic research and how they have been adapted for industry-scale implementations. Academic innovations, such as neural ranking models and semantic search techniques, have improved the accuracy and relevance of search results by …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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Interview Preparation System Using AI
Abstract: The automated interview evaluation system leverages artificial intelligence (AI) and natural language processing (NLP) technologies to streamline and enhance the interview process. Through a web-based application built with the Flask framework, the system enables candidates to respond to dynamically loaded interview questions using both text and speech inputs. Questions, managed via a CSV (comma separated values) file for flexibility, are evaluated for similarity to expected answers using the rapid fuzz …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 1, 2025 · pp. 8–13 Read article
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India’s Role in Ethical Environmental Cooperation in South Asia
Abstract: South Asia is one of the most vulnerable ecosystems in the world, facing serious environmental challenges, such as climate change, deforestation, loss of biodiversity, water shortage and transboundary pollution. These threats have had considerable and far-reaching consequences that relate to the countries in question. The best way forward for regional environmental governance is therefore a mix of national and regional collaboration. In addressing these challenges, India is the largest and …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 2, 2025 · pp. 36–48 Read article
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Leadership Influence on Work Performance in Health Care Professionals: A Narrative Review
Abstract: Leadership significantly influences the work performance of healthcare professionals by shaping job satisfaction, engagement, and organizational efficiency. This narrative review examines 21 peer-reviewed articles from PubMed and Semantic Scholar on various leadership styles—transformational, servant, democratic, digital, collective, authoritarian, laissez-faire, and caring leadership—and their impact on healthcare performance. The results indicate that transformational, servant, and democratic leadership enhance engagement, teamwork, and job satisfaction, ultimately improving performance. Digital leadership fosters employee empowerment, …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 Read article
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Study of Social Trends Prediction Using AI
Abstract: AI (Artificial Intelligence) has fundamentally changed the ability to analyze social trends by using large datasets to develop predictions about human behavior, public sentiment, and global events. Using methodologies such as Natural Language Processing (NLP), Time-Series Forecasting, and Graph-Based Social Network Analysis, AI is able to find hidden correlations in a variety of available datasets, from social media to economic indicators to public records, and fundamentally changes decision-making based on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 19–29 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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Human-in-the-Loop AI in HR Decision-Making: Insights from Big 4 AI Governance Reports
Abstract: The integration of artificial intelligence (AI) in human resource (HR) decision-making has transformed recruitment, performance evaluations, and talent management. However, biases embedded in AI-driven HR systems present significant ethical and operational challenges. Human-in-the-Loop (HITL) AI offers a hybrid approach that combines AI efficiency with human oversight to enhance fairness and accountability. This paper systematically analyses HITL AI in HR decision-making using qualitative analysis of AI governance reports from Big 4 …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 43–50 Read article
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Application of Proportional-Share with Punishment Principle for Resource Sharing in Parallel Computing Applications
Abstract: Efficient resource sharing is a cornerstone of high-performance parallel computing. While proportional-share scheduling has long been a foundational approach for distributing resources according to predefined weights, its effectiveness can be compromised by tasks that over-consume their allocated share, leading to system-wide performance degradation and unfairness. This review article investigates the application of the “Proportional-Share with Punishment” (PSWP) principle, a hybrid scheduling paradigm designed to address this challenge. PSWP integrates the …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article