Searched for: subject%3A%22Fairness%22
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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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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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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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Li, Roger Zhe (author)
doctoral 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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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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Vogel, G.C. (author), Hirtreiter, E.J. (author), Schulze Balhorn, L. (author), Schweidtmann, A.M. (author)
SFILES are a text-based notation for chemical process flowsheets. They were originally proposed by d’Anterroches (Process flow sheet generation & design through a group contribution approach) who was inspired by the text-based SMILES notation for molecules. The text-based format has several advantages compared to flowsheet images...
journal article 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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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
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Si Salem, Tareq (author), Iosifidis, G. (author), Neglia, Giovanni (author)
We study the fairness of dynamic resource allocation problem under the α-fairness criterion. We recognize two different fairness objectives that naturally arise in this problem: the well-understood slot-fairness objective that aims to ensure fairness at every timeslot, and the less explored horizon-fairness objective that aims to ensure...
journal article 2023
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Wielinga, B. (author)
I argue that the theory of complex equality, through its focus on social goods, can help adress certain problems caused by the abstractness of statistical algorithmic fairness measures.
journal article 2023
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van der Linden, J.G.M. (author), de Weerdt, M.M. (author), Demirović, E. (author)
Global optimization of decision trees has shown to be promising in terms of accuracy, size, and consequently human comprehensibility. However, many of the methods used rely on general-purpose solvers for which scalability remains an issue. Dynamic programming methods have been shown to scale much better because they exploit the tree structure by...
conference paper 2023
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Balayn, A.M.A. (author), Yurrita Semperena, M. (author), Yang, J. (author), Gadiraju, Ujwal (author)
Fairness toolkits are developed to support machine learning (ML) practitioners in using algorithmic fairness metrics and mitigation methods. Past studies have investigated practical challenges for toolkit usage, which are crucial to understanding how to support practitioners. However, the extent to which fairness toolkits impact practitioners’...
conference paper 2023
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Süsser, Diana (author), McGookin, Connor (author), McDowall, Will (author), Lombardi, F. (author), Braunreiter, Lukas (author), Bouzarovski, Stefan (author)
A notable inclusion in the most recent mitigation assessment from the IPCC was the need for a broader societal transformation to achieve the Paris Agreement temperature goals in a fair and equitable manner. Energy system models are becoming increasingly important in politics when it comes to informing the energy transition towards climate...
abstract 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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Yurrita Semperena, M. (author), Draws, T.A. (author), Balayn, A.M.A. (author), Murray-Rust, D.S. (author), Tintarev, N. (author), Bozzon, A. (author)
Recent research claims that information cues and system attributes of algorithmic decision-making processes affect decision subjects' fairness perceptions. However, little is still known about how these factors interact. This paper presents a user study (N = 267) investigating the individual and combined effects of explanations, human...
conference paper 2023
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Hekkelman, B. (author)
We consider energy systems in the built environment. With the transition to a more sustainable, distributed, and 'smart' energy system, such local grids are undergoing significant changes. Among other developments, the new role of end-users as 'prosumers' - users that can either produce or consume power depending on the situation - is turning...
doctoral thesis 2022
Searched for: subject%3A%22Fairness%22
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