Search Results - Algorithmic fairness
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61
A Judging Scheme for Large-Scale Innovative Class Competitions Based on Z-Score Pro Computational Model and BP Neural Network Model
Published 2025-05-01“…Although numerous methods have been developed to improve scoring fairness and precision, challenges such as evaluator subjectivity, workload imbalance, and the inherent uncertainty of scoring systems remain inadequately addressed. …”Recently, interest in optimizing judging schemes for large-scale innovation competitions has grown as the complexities in evaluation processes continue to escalate. Although numerous methods have been developed to improve scoring fairness and precision, challenges such as evaluator subjectivity, wor...
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62
ChatGPT in Education: A Systematic Review on Opportunities, Challenges, and Future Directions
Published 2025-06-01Get full textThis study presents a systematic review on the integration of ChatGPT in education, examining its opportunities, challenges and future directions. Utilizing the PRISMA framework, the review analyzes 40 peer-reviewed studies published from 2020 to 2024. Opportunities identified include the potential...
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A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology
Published 2025-12-01“…This framework promotes rigorous peer review and enhances the reproducibility, clinical relevance, and fairness of AI research in nephrology. Moreover, AI/ML studies must confront biases—data, selection, and algorithmic—that adversely affect model performance. …”Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diagnosis, risk prediction, and treatment optimization for conditions such as acute kidney injury (AKI) and chronic kidney disease (CKD). AI-driven models utilize diverse datasets—including electronic hea...
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64
Risk Management and Optimization of Artificial Intelligence in E-Commerce Personalization Systems
Published 2025-01-01“…Finally, the paper proposes optimization strategies that balance technological innovation, corporate responsibility, and regulatory intervention to enhance transparency, fairness, and user satisfaction in AI-driven e-commerce platforms. …”The economic landscape of the 21st century has been rapidly transformed by emerging technologies, particularly artificial intelligence (AI). E-commerce has become the dominant marketplace, offering consumers a highly personalized shopping experience driven by AI-powered recommendation systems. While...
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65
The Impact of Artificial Intelligence on Legal Systems: Challenges and Opportunities
Published 2024-05-01“…Furthermore, the research critically examines the ethical and societal challenges stemming from artificial intelligence integration, including concerns related to data privacy, algorithmic bias, and the accountability of artificial intelligence-driven legal solutions. …”The integration of artificial intelligence into legal systems has engendered a paradigm shift in the legal landscape, presenting a complex interplay of challenges and opportunities for the legal profession and the justice system. This Comprehensive research delves into the multifaceted impact of ar...
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66
DAO-Based Society-In-The-Loop Model: Redesigning Society-In-The-Loop Framework to Concrete Social Dialogue Key Measurement for Platform Workers
Published 2024-11-01“…This directive aims to ensure fairness, transparency, and accountability within digital labour platforms by introducing four crucial measures designed to counteract biased decision-making and intrusive monitoring in its algorithmic management chapter. …”The advancements in Information Communication Technologies (ICT) have caused widespread adoption of immersive technologies throughout society. Among these, artificial intelligence (AI) is the most popular, increasingly integrated into various business practices. The capacity of this technology to pr...
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67
Analisis Kinerja Algoritme TCP Congestion Control Berdasarkan Single dan Multiple Flow pada Multi-Path Routing
Published 2020-10-01“…Pada evaluasi inter TCP protocol fairness dan fairness antara TCP dengan UDP, fairness CUBIC paling mendekati 1 dibandingkan dengan Reno, BIC, dan BBR. …”Teknik multi-path routing merupakan solusi efektif untuk menambah kapasitas bandwidth jaringan. Namun, TCP menggunakan multiple paths sama dengan di single path. Penelitian ini melakukan analisis kinerja algoritme TCP congestion control Reno, BIC, CUBIC, dan BBR pada multi-path routing dengan setiap...
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68
Responsible AI in structural engineering: a framework for ethical use
Published 2025-07-01“…This study addresses these issues through eight fictional but realistic case studies that illustrate plausible ethical dilemmas, such as algorithmic bias in predictive models and tensions between AI-generated recommendations and human engineering judgment. …”The integration of Artificial Intelligence (AI) into structural engineering holds great promise for advancing analysis, design, and maintenance. However, it also raises critical ethical and governance challenges—including bias, lack of transparency, accountability gaps, and equity concerns—which are...
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69
Interactive Mitigation of Biases in Machine Learning Models for Undergraduate Student Admissions
Published 2025-07-01“…Bias and fairness issues in artificial intelligence (AI) algorithms are major concerns, as people do not want to use software they cannot trust. …”Bias and fairness issues in artificial intelligence (AI) algorithms are major concerns, as people do not want to use software they cannot trust. Because these issues are intrinsically subjective and context-dependent, creating trustworthy software requires human input and feedback. (1) Introduction:...
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70
Racial disparities in continuous glucose monitoring-based 60-min glucose predictions among people with type 1 diabetes.
Published 2025-06-01“…We aimed to evaluate algorithmic fairness in glucose predictions. This study utilized continuous glucose monitoring (CGM) data from 101 White and 104 Black participants with type 1 diabetes collected by the JAEB Center for Health Research, US. …”Non-Hispanic white (White) populations are overrepresented in medical studies. Potential healthcare disparities can happen when machine learning models, used in diabetes technologies, are trained on data from primarily White patients. We aimed to evaluate algorithmic fairness in glucose predictions....
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71
AI-Driven Transcriptome Prediction in Human Pathology: From Molecular Insights to Clinical Applications
Published 2025-06-01“…Emerging solutions like cross-modal pretraining frameworks, federated learning, and fairness-aware model design aim to overcome these barriers. …”Gene expression regulation underpins cellular function and disease progression, yet its complexity and the limitations of conventional detection methods hinder clinical translation. In this review, we define “predict” as the AI-driven inference of gene expression levels and regulatory mechanisms fro...
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72
BRIDGING THE GAP: OPPORTUNITIES, CHALLENGES AND STRATEGIES FOR AI DEPLOYMENT IN PUBLIC SERVICE DELIVERY
Published 2025-06-01“…At the same time, it emphasises significant challenges, such as algorithmic bias, data privacy risks, public trust deficits, and resource disparities that may impede the equitable adoption of AI. …”Artificial intelligence (AI) has the potential to revolutionise public service delivery, but its creation and implementation come with both exciting possibilities and complex obstacles. Despite the increasing discussions surrounding AI, there is a lack of research specifically focused on its implica...
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73
The Application and Ethical Implication of Generative AI in Mental Health: Systematic Review
Published 2025-06-01“…However, to ensure ethical and effective implementation, comprehensive safeguards—particularly around privacy, algorithmic bias, and responsible user engagement—must be established.…”BackgroundMental health disorders affect an estimated 1 in 8 individuals globally, yet traditional interventions often face barriers, such as limited accessibility, high costs, and persistent stigma. Recent advancements in generative artificial intelligence (GenAI) have intro...
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74
Ethical Foundations of AI-Driven Avatars in the Metaverse for Innovation and User Privacy
Published 2025-01-01“…Building on these insights, we propose an ethical framework emphasizing transparency, fairness, accountability, privacy by design, and user autonomy. …”The rapid proliferation of AI-powered avatars in the Metaverse is fundamentally transforming user interactions through unprecedented levels of realism and personalization. However, these advances also introduce critical ethical and legal dilemmas surrounding privacy, identity theft, algorithmic bias...
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75
Joint Caching and Computation in UAV-Assisted Vehicle Networks via Multi-Agent Deep Reinforcement Learning
Published 2025-06-01“…Our method aims to maximize system efficiency by achieving a judicious balance among multiple performance metrics, such as cache hit rate, task delay, energy consumption, and fairness. Simulation results demonstrate that, compared to various representative baseline methods, the proposed MAPPO algorithm exhibits significant superiority in achieving higher cumulative rewards and an approximately 82% cache hit rate.…”Intelligent Connected Vehicles (ICVs) impose stringent requirements on real-time computational services. However, limited onboard resources and the high latency of remote cloud servers restrict traditional solutions. Unmanned Aerial Vehicle (UAV)-assisted Mobile Edge Computing (MEC), which deploys c...
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The Legal Challenges of Implementing AI in Emergency Departments
Published 2024-04-01“…Addressing algorithmic bias and ensuring fairness of AI systems through ongoing oversight and regulation is essential to mitigate this risk and prevent the perpetuation of health disparities. …”Integrating artificial intelligence (AI) in healthcare can significantly enhance diagnostic precision, therapeutic effectiveness, and healthcare administration. However, as AI has become more widespread recently, it raises several legal and ethical concerns that require meticulous consideration. A p...
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77
Dynamic sensitivity‐based clustering of distributed energy resources using LoRaWAN technology for voltage regulation in distribution networks
Published 2024-12-01“…The proposed flexible management algorithm suggested a dynamic setting that estimates the mutual sensitivity among IBRs at the system level and assures fairness among different owners. …”Abstract As the penetration level of renewable energies increases, many inverter‐based resources (IBRs) managing algorithms are proposed to control the impact of this penetration on the system. Some of these algorithms are based on a local control without visualizing the status of the whole network...
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78
Interference Management in UAV-Assisted Multi-Cell Networks
Published 2025-06-01“…We outline a two-stage approach to maximize the fairness-aware sum-rate of UE and UAVs. In the first stage, a genetic algorithm (GA)-based approach is used to assign a sub-band to all cells and to determine the location of each UAV. …”This article considers a multi-cell wireless network comprising of conventional user equipment (UE), sensor devices and unmanned aerial vehicles (UAVs) or drones. UAVs are used to assist a base station, e.g., improve coverage or collect data from sensor devices. The problem at hand is to optimize th...
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79
A Novel Consensus Mechanism Using Publicly Verifiable Randomness for Blockchain Networks
Published 2025-01-01“…In this paper, we propose a novel consensus mechanism called the Blockchain-based Publicly Verifiable Randomness Algorithm (BCPVRNG-SC) that enhances security, fairness, and transparency in blockchain networks. …”In this paper, we propose a novel consensus mechanism called the Blockchain-based Publicly Verifiable Randomness Algorithm (BCPVRNG-SC) that enhances security, fairness, and transparency in blockchain networks. The mechanism employs two distinct pseudorandom number generators: the Encapsulated Range...
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Artificial Intelligence and Ethical Dimensions of Automated Traffic Enforcement: Implications for Public Health, Healthcare Equity, and Social Justice
Published 2025-07-01“…The study advocates for the development of ethical artificial intelligence governance frameworks that incorporate transparent algorithmic auditing, community driven design processes, and robust oversight mechanisms. …”This study provides a critical examination of AI-integrated speed and red-light camera systems through the theoretical lenses of Surveillance Capitalism, the Panopticon Model, Social Control Theory, Technological Determinism, and Structural Violence Theory. While artificial intelligent speed safety...
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