Searched for: subject%3A%22AI%22
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Hu, M. (author), Yue, N. (author), Groves, R.M. (author)
With the improvements in computational power and advances in chip and sensor technology, the applications of machine learning (ML) technologies in structural health monitoring (SHM) are increasing rapidly. Compared with traditional methods, deep learning based SHM (Deep SHM) methods are more efficient and have a higher accuracy. However, due...
journal article 2024
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Thelisson, Eva (author), Verma, H. (author)
The European Commission proposed harmonised rules on artificial intelligence (AI) on the 21st of April 2021 (namely the EU AI Act). Following a consultative process with the European Council and many amendments, a General Approach of the EU AI Act was published on the 25th of November 2022. The EU Parliament approved the initial draft in May...
journal article 2024
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Klenk, M.B.O.T. (author)
Franke, in Philosophy & Technology, 37(1), 1–6, (2024), connects the recent debate about manipulative algorithmic transparency with the concerns about problematic pursuits of positive liberty. I argue that the indifference view of manipulative transparency is not aligned with positive liberty, contrary to Franke’s claim, and even if it is...
journal article 2024
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Meoni, G. (author), Märtens, Marcus (author), Derksen, Dawa (author), See, Kenneth (author), Lightheart, Toby (author), Sécher, Anthony (author), Martin, Arnaud (author), Rijlaarsdam, David (author), Fanizza, Vincenzo (author), Izzo, Dario (author)
While novel artificial intelligence and machine learning techniques are evolving and disrupting established terrestrial technologies at an unprecedented speed, their adaptation onboard satellites is seemingly lagging. A major hindrance in this regard is the need for high-quality annotated data for training such systems, which makes the...
journal article 2024
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Yaghoubi Nasrabadi, V. (author), Kumru, B. (author)
Over the past 30 years, the polymer composite industry has flourished, producing advanced structural materials for the aviation, energy, and transportation sectors. However, the use of crosslinked thermoset matrices has been linked to significant end-of-life challenges, presenting a critical issue for the industry. Moreover, the industry is...
journal article 2024
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Sebahi, Yassine (author), Jabeen, F. (author), Treur, Jan (author), Taal, H. Rob (author), Roelofsma, Peter H.M.P. (author)
This paper presents an approach to enhancing neonatal care through the application of artificial intelligence (AI). Utilizing network-oriented modeling methodologies, the study aims to develop a network model to improve outcomes in neonatal respiratory support. The introduction sets the stage by outlining the significance of neonatal...
conference paper 2024
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Buijsman, S.N.R. (author)
With the widespread use of artificial intelligence, it becomes crucial to provide information about these systems and how they are used. Governments aim to disclose their use of algorithms to establish legitimacy and the EU AI Act mandates forms of transparency for all high-risk and limited-risk systems. Yet, what should the standards for...
journal article 2024
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Mioch, T. (author), Aldewereld, Huib (author), Neerincx, M.A. (author)
Fire fighters operate in a dangerous, dynamic, and complex environment. Artificial Intelligence (AI) systems can contribute to improve fire fighters' situation awareness and decision-making. However, the introduction of AI systems needs to be done responsibly, taking (human) values into account, especially as the situation in which fire fighters...
conference paper 2024
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Mioch, T. (author), Aldewereld, Huib (author), Neerincx, M.A. (author)
Artificial Intelligence systems are more and more being introduced into first response; however, this introduction needs to be done responsibly. While generic claims on what this entails already exist, more details are required to understand the exact nature of responsible application of AI within the first response domain. The context in which...
conference paper 2024
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de Winter, J.C.F. (author), Dodou, D. (author), Eisma, Y.B. (author)
Within a year of its launch, ChatGPT has seen a surge in popularity. While many are drawn to its effectiveness and user-friendly interface, ChatGPT also introduces moral concerns, such as the temptation to present generated text as one’s own. This led us to theorize that personality traits such as Machiavellianism and sensation-seeking may be...
journal article 2024
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Lefter, I. (author), Rook, L. (author), Chaspari, Theodora (author)
contribution to periodical 2024
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Erlei, Alexander (author), Sharma, Abhinav (author), Gadiraju, Ujwal (author)
The ability to make appropriate delegation decisions is an important prerequisite of effective human-AI collaboration. Recent work, however, has shown that people struggle to evaluate AI systems in the presence of forecasting errors, falling well short of relying on AI systems appropriately. We use a pre-registered crowdsourcing study (N =...
conference paper 2024
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Kim, Dajung (author), Vegt, N.J.H. (author), Visch, V.T. (author), Bos-de Vos, M. (author)
Despite the growing potential of artificial intelligence (AI) in improving clinical decision making, patients' perspectives on the use of AI for their care decision making are underexplored. In this paper, we investigate patients' preferences towards the autonomy of AI in assisting healthcare decision making. We conducted interviews and an...
conference paper 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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Katzy, J.B. (author)
Large language models have become increasingly utilized in programming contexts. However, due to the recent emergence of this trend, some aspects have been overlooked. We propose a research approach that investigates the inner mechanics of transformer networks, on a neuron, layer, and output representation level, to understand whether there...
conference paper 2024
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El Ali, Abdallah (author), Venkatraj, Karthikeya Puttur (author), Morosoli, Sophie (author), Naudts, Laurens (author), Helberger, Natali (author), Cesar, Pablo (author)
Advances in Generative Artificial Intelligence (AI) are resulting in AI-generated media output that is (nearly) indistinguishable from human-created content. This can drastically impact users and the media sector, especially given global risks of misinformation. While the currently discussed European AI Act aims at addressing these risks through...
conference paper 2024
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Corti, L. (author), Oltmans, R.F.A. (author), Jung, Jiwon (author), Balayn, A.M.A. (author), Wijsenbeek, Marlies (author), Yang, J. (author)
Clinicians increasingly pay attention to Artificial Intelligence (AI) to improve the quality and timeliness of their services. There are converging opinions on the need for Explainable AI (XAI) in healthcare. However, prior work considers explanations as stationary entities with no account for the temporal dynamics of patient care. In this work,...
conference paper 2024
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Bier, H.H. (author), Hidding, A.J. (author), Khademi, S. (author), van Engelenburg, C.C.J. (author), Alavi, Hamed (author), Zhong, Sailin (author)
Ambient intelligence (AmI) relying on electronic devices employing information and communication technology (ICT) and artificial intelligence (AI) embedded in the network connecting these devices tends today to be insufficiently used. This deficiency implies that spaces are uncomfortable and considerable energy dissipates due to distribution...
journal article 2024
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Cai, Hanbo (author), Zhang, Pengcheng (author), Dong, Hai (author), Xiao, Yan (author), Koffas, S. (author), Li, Yiming (author)
Deep neural networks (DNNs) have been widely and successfully adopted and deployed in various applications of speech recognition. Recently, a few works revealed that these models are vulnerable to backdoor attacks, where the adversaries can implant malicious prediction behaviors into victim models by poisoning their training process. In this...
journal article 2024
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Bharosa, Nitesh (author), Janowski, Tomasz (author)
Governments struggle to harness emerging technologies to improve public services, address social needs, and produce public value. In response, we see a rise in GovTech startups and other non-government actors trying to bring innovative solutions to governments. While some public agencies welcome such help, many are reluctant to rely on...
conference paper 2024
Searched for: subject%3A%22AI%22
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