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Floridi, Luciano (author), Cowls, Josh (author), Beltrametti, Monica (author), Chatila, Raja (author), Chazerand, Patrice (author), Dignum, M.V. (author), Luetge, Christoph (author), Madelin, Robert (author), Pagallo, Ugo (author)
This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess...
journal article 2018
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Kouw, W.M. (author)
Artificial intelligence, and in particular machine learning, is concerned with teaching computer systems to perform tasks. Tasks such as autonomous driving, recognizing tumors in medical images, or detecting suspicious packages in airports. Such systems learn by observing examples, i.e. data, and forming a mathematical description of what types...
doctoral thesis 2018
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Dwivedi, Yogesh K. (author), Hughes, Laurie (author), Ismagilova, Elvira (author), Aarts, Gert (author), Coombs, Crispin (author), Crick, Tom (author), Duan, Yanqing (author), Dwivedi, Rohita (author), Janssen, M.F.W.H.A. (author)
As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation...
journal article 2019
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Robbins, S.A. (author)
There is widespread agreement that there should be a principle requiring that artificial intelligence (AI) be ‘explicable’. Microsoft, Google, the World Economic Forum, the draft AI ethics guidelines for the EU commission, etc. all include a principle for AI that falls under the umbrella of ‘explicability’. Roughly, the principle states that ...
journal article 2019
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Horvath, I. (author)
Owing to the results of research in system science, artificial intelligence, and cognitive engineering, engineered systems are becoming more and more powered by knowledge. Complementing common-sense andscientific knowledge,systemknowledge is maturingintoa crucial productive asset. However, an overall theory of the knowledge of...
journal article 2020
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van der Waa, J.S. (author), Schoonderwoerd, Tjeerd (author), Diggelen, Jurriaan van (author), Neerincx, M.A. (author)
Decision support systems (DSS) have improved significantly but are more complex due to recent advances in Artificial Intelligence. Current XAI methods generate explanations on model behaviour to facilitate a user's understanding, which incites trust in the DSS. However, little focus has been on the development of methods that establish and...
journal article 2020
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Robbins, S.A. (author)
conference paper 2020
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Mager, Tino (author), Hein, C.M. (author)
Digital technologies provide novel ways of visualizing cities and buildings. They also facilitate new methods of analyzing the built environment, ranging from artificial intelligence (AI) to crowdsourced citizen participation. Digital representations of cities have become so refined that they challenge our perception of the real. However,...
journal article 2020
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Maathuis, E.C. (author), Pieters, W. (author), van den Berg, Jan (author)
Cyber operations are relatively a new phenomenon of the last two decades. During that period, they have increased in number, complexity, and agility, while their design and development have been processes well kept under secrecy. As a consequence, limited data(sets) regarding these incidents are available. Although various academic and...
journal article 2020
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Fines, Konstantine (author), Sharpanskykh, Alexei (author), Vert, M.P.J. (author)
Airport surface movement operations are complex processes with many types of adverse events which require resilient, safe, and efficient responses. One regularly occurring adverse event is that of runway reconfiguration. Agent-based distributed planning and coordination has shown promising results in controlling operations in complex systems,...
journal article 2020
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Peeters, Marieke M.M. (author), van Diggelen, Juriaan (author), Van Den Bosch, Karel (author), Bronkhorst, Adelbert (author), Neerincx, M.A. (author), Schraagen, Jan Maarten (author), Raaijmakers, Stefan (author)
Within current debates about the future impact of Artificial Intelligence (AI) on human society, roughly three different perspectives can be recognised: (1) the technology-centric perspective, claiming that AI will soon outperform humankind in all areas, and that the primary threat for humankind is superintelligence; (2) the human-centric...
journal article 2020
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Aizenberg, E. (author), van den Hoven, M.J. (author)
In the age of Big Data, companies and governments are increasingly using algorithms to inform hiring decisions, employee management, policing, credit scoring, insurance pricing, and many more aspects of our lives. Artificial intelligence (AI) systems can help us make evidence-driven, efficient decisions, but can also confront us with unjustified...
journal article 2020
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Vigueras Guillén, J.P. (author), van Rooij, Jeroen (author), Engel, Angela (author), Lemij, Hans G. (author), van Vliet, L.J. (author), Vermeer, K.A. (author)
Purpose: To present a fully automatic method to estimate the corneal endothelium parameters from specular microscopy images and to use it to study a one-year follow-up after ultrathin Descemet stripping automated endothelial keratoplasty. Methods: We analyzed 383 post ultrathin Descemet stripping automated endothelial keratoplasty images from...
journal article 2020
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van de Poel, I.R. (author)
Organizations such as the EU High-Level Expert Group on AI and the IEEE have recently formulated ethical principles and (moral) values that should be adhered to in the design and deployment of artificial intelligence (AI). These include respect for autonomy, non-maleficence, fairness, transparency, explainability, and accountability. But how...
journal article 2020
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Zuiderwijk-van Eijk, A.M.G. (author), Chen, Yu-Che (author), Salem, Fadi (author)
To lay the foundation for the special issue that this research article introduces, we present 1) a systematic review of existing literature on the implications of the use of Artificial Intelligence (AI) in public governance and 2) develop a research agenda. First, an assessment based on 26 articles on this topic reveals much exploratory,...
journal article 2021
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He, Q. (author), DU, F. (author), Simonse, LWL (author)
Background: In the context of the COVID-19 outbreak, 80% of the persons who are infected have mild symptoms and are required to self-recover at home. They have a strong demand for remote health care that, despite the great potential of artificial intelligence (AI), is not met by the current services of eHealth. Understanding the real needs of...
journal article 2021
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Kuğuoğlu, B.K. (author), van der Voort, H.G. (author), Janssen, M.F.W.H.A. (author)
Despite the promise of AI and IoT, the efforts of many organizations at scaling smart city initiatives fall short. Organizations often start by exploring the potential with a proof-of-concept and a pilot project, with the process later grinding to a halt for various reasons. Pilot purgatory, in which organizations invest in small-scale...
journal article 2021
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Valentine, David Callisto (author), Smit, I.R. (author), Kim, E.D.H. (author)
Trust is an important factor in building acceptance of autonomous vehicles within our society, but the complex nature of trust makes it challenging to design for an appropriate level of trust. This can lead to instances of mistrust and/or distrust between users and AV’s. Designing for calibrated trust is a possible option to address this...
journal article 2021
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Mariani, Elena (author), Kooijman, F.S.C. (author), Shah, P. (author), Stoimenova, N. (author)
Interactions of users with AI powered solutions (AIPS) have the potential to affect collective behaviours and amplify unanticipated outcomes. Product developers, organisations, and companies are increasingly being expected to take responsibility for the unanticipated outcomes of their products. In this paper we explore a proactive approach to...
journal article 2021
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Vrolijk, J. (author), Blacquière, G. (author)
It is well known that source deghosting can best be applied to common-receiver gathers, whereas receiver deghosting can best be applied to common-shot records. The source-ghost wavefield observed in the common-shot domain contains the imprint of the subsurface, which complicates source deghosting in the common-shot domain, in particular when the...
journal article 2021
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