Søgeresultater - Algorithmic fairness
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Mitigating Algorithmic Bias Through Probability Calibration: A Case Study on Lead Generation Data
Udgivet 2025-07-01Fag: Få fuldtekstProbability calibration is commonly utilized to enhance the reliability and interpretability of probabilistic classifiers, yet its potential for reducing algorithmic bias remains under-explored. In this study, the role of probability calibration techniques in mitigating bias associated with sensitiv...
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Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for Epidemiologists
Udgivet 2025-07-01Fag: Få fuldtekstLaura J Horsfall, Paulina Bondaronek, Julia Ive, Shoba Poduval Institute of Health Informatics, University College London, London, UKCorrespondence: Laura J Horsfall, Email laura.horsfall@ucl.ac.ukAbstract: Clinical algorithms are widely used tools for predicting, diagnosing, and managing diseases....
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Implications of algorithmic bias in AI-driven emergency response systems
Udgivet 2026-01-01Fag: Få fuldtekstIn this paper, we introduce a framework to evaluate the economic implications of algorithmic bias specifically for the emergency response systems that incorporate AI. Unlike existing research, which mostly addresses technical or ethical aspects in isolation, our approach integrates economic theory w...
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A Comprehensive Review and Benchmarking of Fairness-Aware Variants of Machine Learning Models
Udgivet 2025-07-01Fag: “...fairness...”Fairness is a fundamental virtue in machine learning systems, alongside with four other critical virtues: Accountability, Transparency, Ethics, and Performance (FATE + Performance). Ensuring fairness has been a central research focus, leading to the development of various mitigation strategies in th...
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Ethical theories, governance models, and strategic frameworks for responsible AI adoption and organizational success
Udgivet 2025-07-01Fag: Få fuldtekstAs artificial intelligence (AI) becomes integral to organizational transformation, ethical adoption has emerged as a strategic concern. This paper reviews ethical theories, governance models, and implementation strategies that enable responsible AI integration in business contexts. It explores how e...
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Study of Fair Strategy for Merchant Self-Operated Takeaway Delivery Based on Delivery Plan Optimization
Udgivet 2025-06-01Fag: Få fuldtekstWith the increasing demand for takeaway delivery, more merchants are developing their takeaway delivery system to manage order fulfillment and enhance the consumer online experience. This study presents a mathematical model for merchant-operated takeaway delivery, using an improved ant colony algori...
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Genetic Algorithm-Driven Joint Optimization of Task Offloading and Resource Allocation for Fairness-Aware Latency Minimization in Mobile Edge Computing
Udgivet 2025-01-01“...This paper proposes a genetic algorithm (GA)-based approach to jointly optimize three important parameters: 1) the proportion of tasks offloaded to mobile edge servers (MES), 2) channel bandwidth allocation, and 3) computational resource allocation, in order to minimize the total task completion time with fairness among user devices (UDs). ...”Mobile Edge Computing (MEC) alleviates latency and bandwidth strain on centralized cloud infrastructures by enabling the offloading of tasks to proximal edge servers, yet resource optimization in dense dynamic networks remains an open problem. This paper proposes a genetic algorithm (GA)-based appro...
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A Grover Search-Based Quantum Key Agreement Protocol for Secure Internet of Medical Things Communication
Udgivet 2025-06-01Fag: Få fuldtekstThe rapid integration of the Internet of Medical Things (IoMT) into healthcare systems raises urgent demands for secure communication mechanisms capable of protecting sensitive patient data. Quantum key agreement (QKA), a collaborative approach to key generation based on quantum principles, provides...
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Fairness modeling for topics with different scales in short texts
Udgivet 2025-07-01“...In order to address the aforementioned issues, a fairness-oriented topic discovery approach (MixTM-G) is proposed. ...”The application of topic modeling to short texts is beset by challenges such as data sparsity and an absence of contextual information. Traditional research methods tend to prioritise high-attention and popular topics, frequently overlooking the identification of emerging topics. Consequently, subje...
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Toward Energy Efficiency and Fairness in UAV-Based Task Offloading
Udgivet 2025-01-01“...This results in a joint optimization framework combining 1) a Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm for UAV trajectory control to enhance service coverage and energy efficiency, with 2) a low-complexity task offloading algorithm for UEs. ...”The rising demand for compute-intensive mobile applications challenges the limited energy and processing power of user equipment (UE). While Mobile Edge Computing (MEC) enables task offloading to nearby servers, deploying fixed MEC infrastructure is often impractical in settings like disaster zones...
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Rethinking Media Users in the Age of AI and Algorithmic Mediation
Udgivet 2025-07-01“...The authors describe and prescribe how people respond to AI in real settings, such as journalists transitioning to algorithmic newsrooms, students utilizing ChatGPT, and policymakers searching for fairness and transparency. ...”We have collected 16 research essays on how artificial intelligence (AI) is reshaping media, communication, and public life. The authors describe and prescribe how people respond to AI in real settings, such as journalists transitioning to algorithmic newsrooms, students utilizing ChatGPT, and polic...
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Algorithmic Techniques for GPU Scheduling: A Comprehensive Survey
Udgivet 2025-06-01“...In this survey, we provide a comprehensive classification of GPU task scheduling approaches, categorized by their underlying algorithmic techniques and evaluation metrics. We examine traditional methods—including greedy algorithms, dynamic programming, and mathematical programming—alongside advanced machine learning techniques integrated into scheduling policies. ...”In this survey, we provide a comprehensive classification of GPU task scheduling approaches, categorized by their underlying algorithmic techniques and evaluation metrics. We examine traditional methods—including greedy algorithms, dynamic programming, and mathematical programming—alongside advanced...
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ADF-SL: An Adaptive and Fair Scheme for Smart Learning Task Distribution
Udgivet 2025-01-01“...To evaluate performance, we compare the effectiveness of ADF-SL with that of the naive (Vanilla) SL approach, SplitFed and FairFed. Extensive experiments performed on time series electrocardiogram (ECG) databases (MITDB, SVDB, and INCARTDB) indicate that ADF-SL significantly outperforms the three existing algorithms that served as baselines. ...”Split Learning (SL) is an emerging decentralized paradigm that enables numerous participants, to train a deep neural network without disclosing sensitive information, such as patient data, in fields such as healthcare. In healthcare, SL enables distributed training across a variety of medical device...
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Fairness Optimization for VLC Systems With Liquid Crystal-Based RIS-Enabled Transmitters
Udgivet 2024-01-01“...To address the non-convex problem, we adopt the particle swarm optimization (PSO) algorithm. Simulation results illustrate that equipping the RIS-assisted transmitter in the system and using the proposed algorithm can significantly improve user fairness....”The application of liquid crystal (LC)-based reconfigurable intelligent surface (RIS)-assisted transmitters in visible light communication (VLC) systems can guide and amplify the light emitted by light emitting diodes (LEDs). In this paper, we investigate the VLC system employing the RIS-assisted tr...
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Optimal-Fair Waste Load Allocation of River System Based on Rawls Theory
Udgivet 2024-02-01“...This study provides a new framework for waste load allocation from an fair and equitable perspective. First, the optimal scenarios are generated by calling the (Streeter-Phelps) S-P equation with the Nod-dominated Genetic Algorithm-II (NSGA-II) optimization algorithm. ...”Global attention has focused on the general deterioration of water quality due to rapid industrialization, population growth and a steady decline in the amount of safe water available. This study provides a new framework for waste load allocation from an fair and equitable perspective. First, the op...
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Max-Min Fairness for Stacked Intelligent Metasurface-Assisted Multi-User MISO Systems
Udgivet 2025-01-01“...In this paper, we focus on an SIM-assisted multi-user multiple-input single-output system, where it is essential to ensure that all users receive a fair and reliable service level. To this end, we develop two max-min fairness algorithms based on instantaneous channel state information (CSI) and statistical CSI. ...”Stacked intelligent metasurface (SIM) is an emerging technology that uses multiple reconfigurable surface layers to enable flexible wave-based beamforming. In this paper, we focus on an SIM-assisted multi-user multiple-input single-output system, where it is essential to ensure that all users receiv...
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Enhancing Rare Class Performance in HOI Detection with Re-Splitting and a Fair Test Dataset
Udgivet 2025-06-01“...To overcome this problem, a Re-Splitting algorithm has been developed. This algorithm implements DreamSim-based clustering and performs k-means-based partitioning to restructure the train–test splits. ...”In Human–Object Interaction (HOI) detection, class imbalance severely limits the performance of a model on infrequent interaction categories. To overcome this problem, a Re-Splitting algorithm has been developed. This algorithm implements DreamSim-based clustering and performs k-means-based partitio...
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Interpretarea, instrument de atenuare a bias-ului algoritmic în contractele electronice/ Interpretation, a Tool for Mitigating Algorithmic Bias in Electronic Contracts
Udgivet 2025-07-01“...This article analyzes the role of legal interpretation in mitigating algorithmic bias within electronic contracts. In a digital era where algorithms increasingly influence the formation, interpretation, and execution of contracts, algorithmic bias can create significant imbalances between contracting parties. ...”This article analyzes the role of legal interpretation in mitigating algorithmic bias within electronic contracts. In a digital era where algorithms increasingly influence the formation, interpretation, and execution of contracts, algorithmic bias can create significant imbalances between contractin...
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The Implementation of BCTrustAI.SL into the Automated Practices of Digital Labour Platforms to Ensure Fairness, Transparency and Accountability
Udgivet 2025-07-01“...This directive seeks to foster fairness, transparency, and accountability, establishing four key requirements in its algorithmic management chapter: transparency, human oversight, human review, rights to information and consultation. ...”Since digital labour platforms may infringe upon the rights of platform workers through automated decision-making and monitoring practices, the European Parliament and of the Council has adopted the Directive (EU) 2024/2831 on improving working conditions in platform work (Directive 2024/2831). Thi...
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DRL-based max-min fair RIS discrete phase shift optimization for MISO-OFDM systems
Udgivet 2023-09-01“...With multiple antennas at the base station (BS) serving multiple single-antenna users, we try to design the BS precoder and the RIS reflection phase shifts to maximize the minimum user spectral efficiency, so as to ensure fairness. A deep reinforcement learning (DRL) based algorithm is proposed, in which maximum ratio transmission (MRT) precoding is utilized at the BS and the dueling deep Q-network (DQN) framework is utilized for RIS phase shift optimization. ...”In this paper, we investigate a reconfigurable intelligent surface (RIS) assisted downlink orthogonal frequency division multiplexing (OFDM) transmission system. Taking into account hardware constraint, the RIS is considered to be organized into several blocks, and each block of RIS share the same p...
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