Searched for: subject%3A%22AI%22
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Elands, P.J.M. (author), Heijnen, M.J.H. (author), Werkhoven, P.J. (author)
report 2023
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van Diggelen, J. (author), Metcalfe, J.S. (author), van den Bosch, K. (author), Neerincx, M. (author), Kerstholt, J. (author)
Following the rapid rise of military Artificial Intelligence (AI), people have warned against mankind withdrawing from the immediate war-related events resulting in the “dehumanization” of war (Joerden, 2018). The premise that machines decide what is destroyed and what is spared, and when to take a human life, would be deeply morally...
article 2023
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Barnhoorn, J.S. (author), Rakhorst-Oudendijk, M. (author), Veltman, K. (author), Holleman, B. (author), Haije, T. (author), Wolbers, J. (author), Janssen, J. (author)
The Royal Netherlands Navy is moving towards more autonomous ships to cope with the increasingly complex naval operations while sailing with a reduced manning. The strong expansion of automation and autonomous systems on board requires new solutions for optimal collaboration between the crew and the extensive set of ship systems. We are...
conference paper 2022
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Verhagen, R.S. (author), Neerincx, M.A. (author), Tielman, M.L. (author)
Humans and robots are increasingly working together in human-robot teams. Teamwork requires communication, especially when interdependence between team members is high. In previous work, we identified a conceptual difference between sharing what you are doing (i.e., being transparent) and why you are doing it (i.e., being explainable). Although...
article 2022
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Schoonderwoerd, T.A.J. (author), van Zoelen, E.M. (author), van den Bosch, K. (author), Neerincx, M.A. (author)
The rapid advancement of technology empowered by artificial intelligence is believed to intensify the collaboration between humans and AI as team partners. Successful collaboration requires partners to learn about each other and about the task. This human-AI co-learning can be achieved by presenting situations that enable partners to share...
article 2022
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de Boer, M.H.T. (author), Vethman, S. (author), Bakker, R.M. (author), Adhikari, A. (author), Marcus, M.J.H. (author), de Greeff, J. (author), van der Waa1, J. (author), Schoonderwoerd, T.A.J. (author), Tolios, I. (author), van Zoelen, E.M. (author), Hillerström, F.H.J. (author), Kamphorst, B.J. (author)
conference paper 2022
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van Hove, W. (author), dalla Longa, F. (author), van der Zwaan, B. (author)
In this paper we identify drivers for energy poverty in Europe using machine learning. The establishment of predictors for energy poverty valid across countries is a call made by many experts, since it could pro vide a basis to effectively target energy-poor households with adequate policy measures. We apply a ‘‘low income, high expenditure”...
article 2022
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Sharma, S. (author), van Lint, H. (author), Tavasszy, L. (author), Snelder, M. (author)
This paper studies and compares the gap selection process of multiple vehicle classes (passenger cars, delivery vans, and trucks) within their discretionary lane changing activities. Given a trajectory or a sequence of gap selection decisions, we aim to predict whether a vehicle will change or keep a lane. For this purpose, we use a large...
article 2022
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Schadd, M.P.D. (author), Schoonderwoerd, T.A.J. (author), van den Bosch, K. (author), Visker, O.H. (author), Haije, T. (author), Veltman, K.H.J. (author)
The rapid progress in artificial intelligence enables technology to more and more become a partner of humans in a team, rather than being a tool. Even more than in human teams, partners of human–agent teams have different strengths and weaknesses, and they must acknowledge and utilize their respective capabilities. Coordinated team collaboration...
article 2022
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Veugen, P.J.M. (author), Kamphorst, B. (author), Marcus, M.J.H. (author)
We present the first algorithm that combines privacy-preserving technologies and state-of-the-art explainable AI to enable privacy-friendly explanations of black-box AI models. We provide a secure algorithm for contrastive explanations of black-box machine learning models that securely trains and uses local foil trees. Our work shows that the...
conference paper 2022
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Adhikari, A. (author), Wenink, E. (author), van der Waa, J.S. (author), Bouter, C.A. (author), Tolios, I. (author), Raaijmakers, S.A. (author)
Several useful taxonomies have been published that survey the eXplainable AI (XAI) research field. However, these taxonomies typically do not show the relation between XAI solutions and several use case aspects, such as the explanation goal or the task context. In order to better connect the field of XAI research with concrete use cases and user...
conference paper 2022
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Hayes, P. (author), van de Poel, I. (author), Steen, M. (author)
Algorithms and AI tools are becoming increasingly influential artefacts in commercial and governance contexts. Algorithms and AI tools are not value neutral; to some extent they must be rendered knowable and known as objects, and in their implementation and deployment, to see clearly and understand their implications for moral values, and what...
article 2022
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Georgieva, I.N. (author), Lazo, C.B. (author), Timan, T. (author), van Veenstra, A.F.E. (author)
In the field of AI ethics, after the introduction of ethical frameworks and the evaluation thereof, we seem to have arrived at a third wave in which the operationalisation of ethics is central. Operationalisation is required, since ethics frameworks are often not suited to be used by data scientists in the development of AI-based services or...
article 2022
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Schoonderwoerd, T.A.J. (author), Jorritsma, W. (author), Neerincx, M.A. (author), van den Bosch, K. (author)
Much of the research on eXplainable Artificial Intelligence (XAI) has centered on providing transparency of machine learning models. More recently, the focus on human-centered approaches to XAI has increased. Yet, there is a lack of practical methods and examples on the integration of human factors into the development processes of AI-generated...
article 2021
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Verhagen, R.S. (author), Neerincx, M.A. (author), Tielman, M.L. (author)
Because of recent and rapid developments in Artificial Intelligence (AI), humans and AI-systems increasingly work together in human-agent teams. However, in order to effectively leverage the capabilities of both, AI-systems need to be understandable to their human teammates. The branch of eXplainable AI (XAI) aspires to make AI-systems more...
conference paper 2021
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de Greeff, J. (author), de Boer, M.H.T. (author), Hillerström, F.H.J. (author), Bomhoff, F.W. (author), Jorritsma, W. (author), Neerinx, M. (author)
AI tools are becoming more commonly used in a variety of application domains. In this paper, we describe a system named FATE that combines state of the art AI tools. The goal of the FATE system is decision support with use of ongoing human-AI co-learning, explainable AI and fair, bias-free and secure usage of data. These topics are societally...
conference paper 2021
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de Boer, M.H.T. (author), Hillerström, F.H.J. (author)
In Hybrid AI, machine learning and knowledge engineering are combined to have the best of both worlds. Insights obtained from data are combined with complementary expert knowledge, which can be represented in a graph structure. Graph networks are a recently new development in machine learning and cover methods that learn on graph structured data...
conference paper 2021
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Korteling, J.E. (author), van de Boer-Visschedijk, G.C. (author), Blankendaal, R.A.M. (author), Boonekamp, R.C. (author), Eikelboom, A.R. (author)
AI is one of the most debated subjects of today and there seems little common understanding concerning the differences and similarities of human intelligence and artificial intelligence. Discussions on many relevant topics, such as trustworthiness, explainability, and ethics are characterized by implicit anthropocentric and anthropomorphistic...
article 2021
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Huizing, A. (author), Veenman, C.J. (author), Neerincx, M. (author), Dijk, J. (author)
In recent years, AI based on deep learning has achieved tremendous success in specialized tasks such as speech recognition, machine translation, and the detection of tumors in medical images. Despite these successes there are also some clear signs of the limitations of the current state-of-the-art in AI. For example, biases in AI-enabled face...
conference paper 2021
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van der Waa, J. (author), Verdult, S. (author), van den Bosch, K. (author), van Diggelen, J. (author), Haije, T. (author), van der Stigchel, B. (author), Cocu, I. (author)
With the progress of Artificial Intelligence, intelligent agents are increasingly being deployed in tasks for which ethical guidelines and moral values apply. As artificial agents do not have a legal position, humans should be held accountable if actions do not comply, implying humans need to exercise control. This is often labeled as Meaningful...
article 2021
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