Search Results - Algorithmic fairness
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81
Restraining Cultural Stereotyping in Computational Linguistics through Computational Ethics
Published 2025-05-01“…The study concludes that the implementation of computational ethics in the development of algorithms which recognize linguistic diversities can promote fairness, transparency, and respect for human rights.…”Computational linguistics is one of the achievements of science and technology in the 21st century. It has the ability to enable machines to understand, analyze and process human language with the aid of algorithms. Computational linguistics can in advertently perpetuate...
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82
MAPPING GENERATIVE AI'S ETHICAL ISSUES IN HIGHER EDUCATION: A FELT-GUIDED SYSTEMATIC REVIEW [PEMETAAN ISU ETIKA GENERATIVE AI DI PENDIDIKAN TINGGI: TINJAUAN SISTEMATIS BERPANDUAN...
Published 2025-07-01“…The SLR revealed seven prominent ethical concerns: (1) academic integrity and plagiarism, highlighting issues of unauthorized assistance and false authorship; (2) bias and fairness, manifested through algorithmic and linguistic biases; (3) data privacy and security, concerning unauthorized access and re-identification risks; (4) impact on critical thinking and learning outcomes, fostering over-reliance; (5) authorship, intellectual property, and copyright ambiguities; (6) misinformation, hallucinations, and deepfakes, eroding trust; and (7) broader environmental and labor impacts. …”The pervasive integration of generative AI (GenAI) into higher education presents transformative opportunities alongside complex ethical challenges that necessitate urgent scholarly attention. This study conducts a systematic literature review (SLR) following the rigorous Kitchenham protocol, analy...
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83
Geometric realization of electronic elections based on threshold secret sharing
Published 2018-07-01“…One of the tasks arising in cryptography is to ensure a safe and fair conduct of e-voting. This paper details the algorithm of electronic elections particularly that part which deals with the cryptographic security. …”Introduction. One of the tasks arising in cryptography is to ensure a safe and fair conduct of e-voting. This paper details the algorithm of electronic elections particularly that part which deals with the cryptographic security. Materials and Methods. The results are obtained on the basis of the fo...
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84
Harnessing Artificial Intelligence to Transform Education: Challenges and Opportunities
Published 2025-06-01“…These include worries about algorithmic unfairness, data privacy, and teachers’ or students’ resistance to using AI-based solutions. …”Among the various domains being reshaped by artificial intelligence, the field of education stands out as particularly promising and impactful. AI’s expanding use in education holds promise for enhancing resource accessibility, expediting administrative processes, and creating highly personalized le...
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85
Mental Health Classification Using Machine Learning with PCA and Logistics Regression Approaches for Decision Making
Published 2025-02-01“…Reducing bias within these datasets is essential to enhance the fairness and accuracy of the models and algorithms they support. …”Mental health statistics come with numerous challenges, beginning with data integrity. Ensuring data accuracy and reliability is essential, especially if these datasets are to be used for advanced analysis or research. Additionally, privacy concerns heavily impact the management of mental health dat...
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86
Widely Linear Processing Improves the Throughput of Nonorthogonal User Access
Published 2025-01-01“…Conventionally, rate-fairness among the users is achieved by maximizing the users’ minimal throughput (max-min throughput optimization). …”The quality-of-service (QoS) provided by wireless communication networks can be upgraded by the technique of non-orthogonal multiple-access (NOMA) in tandem with widely linear beamforming (WLB), which uses a pair of beamformers for each information symbol. Conventionally, rate-fairness among the use...
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87
Do Calibrated Recommendations Affect Explanations? A Study on Post-Hoc Adjustments
Published 2025-06-01“…Transparency is important, as explanations can enhance user trust and persuasion, while calibration aligns users’ interests with recommendation lists, improving fairness and reducing popularity bias. Traditionally, calibration and explanation are applied in post-processing. …”Recommender systems generate suggestions by identifying relationships among past interactions, user similarities, and item metadata. Recently, there has been an increased focus on evaluating recommendations based not only on accuracy but also on aspects like transparency and calibration. Transparen...
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88
A Planer Moving Microphone Array for Sound Source Localization
Published 2025-06-01“…For experimental comparison, we also constructed a circular 6-microphone array and a planar 4 × 4 microphone array, both capable of rotation to ensure fairness. Three SSL algorithms were applied across all configurations. …”Sound source localization (SSL) equips service robots with the ability to perceive sound similarly to humans, which is particularly valuable in complex, dark indoor environments where vision-based systems may not work. From a data collection perspective, increasing the number of microphones generall...
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89
Evaluating the Performance and Potential Bias of Predictive Models for Detection of Transthyretin Cardiac Amyloidosis
Published 2025-08-01“…Screening for ATTR-CM with artificial intelligence and other algorithms may improve timely diagnosis, but these algorithms have not been directly compared. …”Background: Delays in the diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) contribute to the significant morbidity of the condition, especially in the era of disease-modifying therapies. Screening for ATTR-CM with artificial intelligence and other algorithms may improve timely diagnosis,...
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90
Delta-V-Based Cooperative Strategies for Orbital Two-Pursuer One-Evader Pursuit–Evasion Games
Published 2025-01-01“…To address the core challenge of the P-E game, we utilize the MinMax bilateral optimization algorithm to determine optimal strategies in each game iteration, ensuring fairness and equal opportunities for all involved parties. …”This paper investigates the application of the Nash equilibrium solution method within 2-versus-1 impulsive orbital pursuit–evasion (P-E) scenarios, involving 2 pursuers and an evader. Through the integration of game theory and coordinated strategies between the pursuers, the initial 2-pursuer 1-eva...
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91
Enhancing Ability Estimation with Time-Sensitive IRT Models in Computerized Adaptive Testing
Published 2025-06-01“…These findings highlight the importance of incorporating response time as an additive factor to improve ability estimation while maintaining fairness and interpretability. Future research should explore multidimensional IRT extensions, behavioral response–time analysis, and adaptive testing environments that dynamically adjust item difficulty based on response behavior.…”This study investigates the impact of response time on ability estimation within an Item Response Theory (IRT) framework, introducing time-sensitive formulations to enhance student assessment accuracy. Seven models were evaluated, including standard 1PL-IRT and six response-time-adjusted variants: T...
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92
Integrative review in PhD admissions: A case study of efficiently minimizing bias while maximizing the student narrative.
Published 2025-01-01“…PhD applicant cohorts to a longstanding Clinical and Translational Sciences PhD TL1 program were assessed using one of three review processes: traditional, algorithmic, or a novel integrative review process. …”Developing scientific and medical innovations continue to be limited by lack of diverse representation among leaders and learners. One key gateway for these goals is graduate school admissions, but comprehensive consideration of all components of applications, which is needed to reduce systemic bias...
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93
Synergizing Intelligence and Privacy: A Review of Integrating Internet of Things, Large Language Models, and Federated Learning in Advanced Networked Systems
Published 2025-06-01“…Finally, this review identifies critical open questions and promising future research paths, including ultra-lightweight models, robust algorithms for heterogeneity, machine unlearning, standardized benchmarks, novel FL paradigms, and next-generation security. …”Bringing together the Internet of Things (IoT), LLMs, and Federated Learning (FL) offers exciting possibilities, creating a synergy to build smarter, privacy-preserving distributed systems. This review explores the merging of these technologies, particularly within edge computing environments. We ex...
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94
Coalition Game-Based Reinforcement Learning in Underwater Acoustic Networks
Published 2025-01-01“…These results highlight the potential of combining cooperative game theory with QL and demonstrate the robustness of the method in optimizing resource allocation and fairness in dynamic underwater communication environments.…”Underwater Acoustic (UWA) communication plays a pivotal role in maritime operations, yet it faces persistent challenges such as limited bandwidth, high interference, and dynamic environmental conditions. The purpose of this work is to address the limitations of existing resource allocation strategie...
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95
AI-driven approaches in the management of early childhood caries: A path toward global oral health
Published 2025-09-01“…Efforts to develop diverse training datasets have not eliminated biases leading to concerns about fairness, discrimination and privacy. Further, unregulated AI applications may worsen rather than reduce health disparities. …”Background: The integration of Artificial Intelligence (AI) with paediatric dentistry has unveiled transformative possibilities, particularly in mitigating the global burden of a prevalent yet preventable oral health issue, namely early childhood caries (ECC). ECC affects millions of children worldw...
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96
Enhancing early gestational diabetes mellitus prediction with imputation-based machine learning framework: A comparative study on real-world clinical records
Published 2025-07-01“…LR models trained on data imputed by mice remained the most robust across varying levels of missingness. The classification algorithm primarily accounted for differences in predictive performance. …”Objective Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications. Electronic health records (EHRs) promise GDM risk prediction, but missing data poses a challenge to developing reliable and generalizable risk prediction models. This study aims to address the problem of...
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97
ML Auditing and Reproducibility: Applying a Core Criteria Catalog to an Early Sepsis Onset Detection System
Published 2025-01-01“…Background: On the way towards a commonly agreed framework for auditing ML algorithms, in our previous paper we proposed a 30-question core criteria catalog. …”Background: On the way towards a commonly agreed framework for auditing ML algorithms, in our previous paper we proposed a 30-question core criteria catalog. In this paper, we apply our catalog to an early sepsis onset detection system use case. Methods: The assessment of the ML algorithm behind the...
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98
Improving health-promoting workplaces through interdisciplinary approaches. The example of WISEWORK-C, a cluster of five work and health projects within Horizon-Europe
Published 2025-07-01“…These shifts are giving rise to new forms of work (eg, hybrid work, gig economy jobs) and reshaping management and work organization practices (eg, through algorithmic decision-making or digital monitoring of worker performance). …”Digitalization, green transitions, and demographic change are transforming societies and economies across Europe. These shifts are giving rise to new forms of work (eg, hybrid work, gig economy jobs) and reshaping management and work organization practices (eg, through algorithmic decision-making or...
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99
The Accounting Procedure for Hedging Financial Schemes with Non-derivative Instruments in Accordance with IFRS
Published 2019-09-01“…The algorithms use various revaluation concepts adopted in IFRS, in particular the concepts of amortized cost and fair value. …”In financial and economic activity, quite often there are situations when financial schemes using different assets are used for the purpose of obtaining economic profit. In this study, we develop a special accounting procedure for hedging under IFRS, in which special attention is paid to accounting...
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100
On constraint qualifications in mathematical programming
Published 2019-06-01“…This condition plays an important role in analyzing the convergence of numerical optimization algorithms and it is a fairly general condition of regularity (constraint qualification) in problems of mathematical programming. …”The article is devoted to the condition of R-regularity (Error Bound Property) in problems of mathematical programming. This condition plays an important role in analyzing the convergence of numerical optimization algorithms and it is a fairly general condition of regularity (constraint qualificatio...
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