Searched for: subject%3A%22fairness%22
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van Veen, Eltjo (author)
In response to the automobile-oriented urban street designs, this study explores the implementation of "Fair Streets" in school zones in the Netherlands. This research aims to create a transition from only vehicle prioritization to also a focus on social, environmental, and community functions on streets around school zones. Currently, up to 50%...
master thesis 2024
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Roza, Julian (author)
Carbon trading sets a price on greenhouse gases (GHG), enabling countries and companies to buy emission rights. The carbon market includes the compliant market, regulated by governments, and the voluntary carbon market (VCM), which lacks strict regulation and allows anyone to offset emissions. In the VCM, carbon credits are created through...
master thesis 2024
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Aslan, F.A. (author), Iosifidis, G. (author), Ayala-Romero, Jose A. (author), Garcia-Saavedra, Andres (author), Costa-Perez, Xavier (author)
O-RAN systems and their deployment in virtualized general-purpose computing platforms (O-Cloud) constitute a paradigm shift expected to bring unprecedented performance gains. However, these architectures raise new implementation challenges and threaten to worsen the already-high energy consumption of mobile networks. This paper presents first...
journal article 2024
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Mehrotra, S. (author), Centeio Jorge, C. (author), Jonker, C.M. (author), Tielman, M.L. (author)
Appropriate trust is an important component of the interaction between people and AI systems, in that ‘inappropriate’ trust can cause disuse, misuse or abuse of AI. To foster appropriate trust in AI, we need to understand how AI systems can elicit appropriate levels of trust from their users. Out of the aspects that influence trust, this paper...
journal article 2024
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Copeland, S.M. (author), Marin, L. (author)
That there is a “crisis of peer review” at the moment is not in dispute, but sufficient attention has not yet been paid to the normative potential that lies in current calls for reform. In contrast to approaches to “fixing” the problems in peer review, which tend to maintain the status quo in terms of professionalising opportunities, this...
journal article 2024
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Sarkar, Priya (author), Liem, C.C.S. (author)
We explore the alignment of organizational representatives involved in hiring processes with five different, commonly proposed fairness notions. In a qualitative study with 17 organizational professionals, for each notion, we investigate their perception of understandability, fairness, potential to increase diversity, and practical applicability...
journal article 2024
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Shome, A. (author), Cruz, Luis (author), van Deursen, A. (author)
Although several fairness definitions and bias mitigation techniques exist in the literature, all existing solutions evaluate fairness of Machine Learning (ML) systems after the training stage. In this paper, we take the first steps towards evaluating a more holistic approach by testing for fairness both before and after model training. We...
conference paper 2024
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Srivastava, Varnika (author)
This thesis introduces the concept of Fairness Aware Influence (FAI), which is dependent on prevalence and fairness. Prevalence of a given seed node is the number of infected nodes. Fairness can be defined differently based on the application or problem statement. In this case, the fairness is defined as the variation in the fraction of...
master thesis 2023
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Li, Roger Zhe (author)
doctoral thesis 2023
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González Romero, Andrea (author)
As the space industry continues to grow rapidly, the development of reusable launch vehicles has become crucial in achieving cost-effective and sustainable access to space. Payload capacity optimisation has been at the forefront of this effort, leading to a renewed interest in hammerhead or bulbous payload fairing (PLF) configurations. These...
master thesis 2023
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Hutiri, Wiebke (author)
From smart phones to speakers and watches, Edge Al is deployed on billions of devices to process large volumes of personal data efficiently, privately and in real-time. While Edge Al applications are promising, many recent incidents of bias in Al systems caution that Edge Al too, may systematically discriminate against groups of people based on...
doctoral thesis 2023
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Balayn, A.M.A. (author)
Machine learning (ML) is an artificial intelligence technology that has a great potential for being adopted in various sectors of activities. Yet, it is now also increasingly recognized as a hazardous technology. Failures in the outputs of an ML system might cause physical or social harms. Besides, the development and deployment of an ML system...
doctoral thesis 2023
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Karnani, Simran (author)
In recent years, there has been a growing interest among researchers in the explainability, fairness, and robustness of Computer Vision models. While studies have explored the usability of these models for end users, limited research has delved into the challenges and requirements faced by researchers investigating these requirements. This study...
master thesis 2023
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KINDYNIS, Chrysanthos (author)
In this paper, we tackle the problem of creating decision trees that are both optimal and individually fair. While decision trees are popular due to their interpretability, achieving optimality can be difficult. Existing approaches either lack scalability or fail to consider individual fairness. To address this, we define individual fairness as...
bachelor thesis 2023
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Calzati, S. (author), van Loenen, B. (author)
To harness the promises of digital transformation, different players take different paths. Departing from corporate-driven (e.g., the United States) and state-led (e.g., China) approaches, in various documents, the European Union states its goal to establish a citizen-centric data ecosystem. However, it remains contentious the extent to which...
journal article 2023
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van den Heuvel, L. (author), Bohm, N.L. (author)
It is common in architecture education to quantify the quality of assignments into grades, often done by one or two teachers using rubrics. However, this can have several downsides. It suggests an objective preciseness that is debatable for the creative assignments in the field of architecture, and the assessment is dependent on the judgement of...
conference paper 2023
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Jiménez Rios, A. (author), Plevris, V. (author), Nogal Macho, M. (author)
The Digital Twin (DT) concept, as understood nowadays, appeared in the early 2000s as an attempt to create virtual replicas of physical assets, such as bridges, that can be used to examine, monitor and manage their performance. Up to this day, it has been successfully applied in the fields of aeronautics, manufacturing, medicine, and more...
conference paper 2023
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Jiménez Rios, Alejandro (author), Plevris, Vagelis (author), Nogal Macho, M. (author)
Digital twins (DTs) are virtual replicas of physical assets that can be used to monitor and manage their performance. To date, the DT concept has been effectively implemented in various industries, including aeronautics, manufacturing, medicine, and more recently, in the architecture, engineering, and construction sector. In the latter, these...
conference paper 2023
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Hutiri, Wiebke (author), Ding, Aaron Yi (author), Kawsar, Fahim (author), Mathur, Akhil (author)
Billions of distributed, heterogeneous, and resource constrained IoT devices deploy on-device machine learning (ML) for private, fast, and offline inference on personal data. On-device ML is highly context dependent and sensitive to user, usage, hardware, and environment attributes. This sensitivity and the propensity toward bias in ML makes...
journal article 2023
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Sun, Zhu (author), Fang, Hui (author), Yang, J. (author), Qu, Xinghua (author), Liu, Hongyang (author), Yu, Di (author), Ong, Yew Soon (author), Zhang, Jie (author)
Recently, one critical issue looms large in the field of recommender systems - there are no effective benchmarks for rigorous evaluation - which consequently leads to unreproducible evaluation and unfair comparison. We, therefore, conduct studies from the perspectives of practical theory and experiments, aiming at benchmarking recommendation...
journal article 2023
Searched for: subject%3A%22fairness%22
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