Searched for: mods_originInfo_publisher_s%3A%22IOS%255C+Press%22
(1 - 20 of 245)

Pages

document
Coggins, T.N. (author)
I argue that social robots installed inside homes produce a novel privacy problem when they invite their users to engage with them. To build my case, I introduce relevant concepts from Erving Goffman’s theory of Dramaturgic Analysis to interpret human-robot interactions. Following Goffman, I posit that we pre-reflectively adjust our behavior to...
book chapter 2023
document
Lou, Yang (author), Song, Q. (author), Xu, Qian (author), Tan, Rui (author), Wang, J. (author)
Multi-modal fusion has shown initial promising results for object detection of autonomous driving perception. However, many existing fusion schemes do not consider the quality of each fusion input and may suffer from adverse conditions on one or more sensors. While predictive uncertainty has been applied to characterize single-modal object...
conference paper 2023
document
Chebykin, Alexander (author), Dushatskiy, A. (author), Alderliesten, T. (author), Bosman, P.A.N. (author)
In this work, we show that simultaneously training and mixing neural networks is a promising way to conduct Neural Architecture Search (NAS). For hyperparameter optimization, reusing the partially trained weights allows for efficient search, as was previously demonstrated by the Population Based Training (PBT) algorithm. We propose PBT-NAS,...
conference paper 2023
document
George, A. (author), Cavalcante Siebert, L. (author), Abbink, D.A. (author), Zgonnikov, A. (author)
Modelling causal responsibility in multi-agent spatial interactions is crucial for safety and efficiency of interactions of humans with autonomous agents. However, current formal metrics and models of responsibility either lack grounding in ethical and philosophical concepts of responsibility, or cannot be applied to spatial interactions. In...
conference paper 2023
document
van Zoelen, E.M. (author), Mioch, T. (author), Tajaddini, M. (author), Fleiner, Christian (author), Tsaneva, Stefani (author), Camin, Pietro (author), Gouvêa, Thiago S. (author), Baraka, Kim (author), De Boer, Maaike H.T. (author), Neerincx, M.A. (author)
With artificial intelligence (AI) systems entering our working and leisure environments with increasing adaptation and learning capabilities, new opportunities arise for developing hybrid (human-AI) intelligence (HI) systems, comprising new ways of collaboration. However, there is not yet a structured way of specifying design solutions of...
conference paper 2023
document
Sayin, Burcu (author), Yang, J. (author), Passerini, Andrea (author), Casati, Fabio (author)
In this paper, we argue that the way we have been training and evaluating ML models has largely forgotten the fact that they are applied in an organization or societal context as they provide value to people. We show that with this perspective we fundamentally change how we evaluate and select machine learning models.
conference paper 2023
document
Chen, P.Y. (author), Tielman, M.L. (author), Heylen, Dirk K.J. (author), Jonker, C.M. (author), van Riemsdijk, M.B. (author)
For personal assistive technologies to effectively support users, they need a user model that records information about the user, such as their goals, values, and context. Knowledge-based techniques can model the relationships between these concepts, enabling the support agent to act in accordance with the user's values. However, user models...
conference paper 2023
document
Sayin, Burcu (author), Yang, J. (author), Passerini, Andrea (author), Casati, Fabio (author)
In many practical applications, machine learning models are embedded into a pipeline involving a human actor that decides whether to trust the machine prediction or take a default route (e.g., classify the example herself). Selective classifiers have the option to abstain from making a prediction on an example they do not feel confident about...
conference paper 2023
document
Liscio, E. (author), Lera-Leri, Roger (author), Bistaffa, Filippo (author), Dobbe, R.I.J. (author), Jonker, C.M. (author), Lopez-Sanchez, Maite (author), Rodriguez-Aguilar, Juan A. (author), Murukannaiah, P.K. (author)
Values, such as freedom and safety, are the core motivations that guide us humans. A prerequisite for creating value-aligned multiagent systems that involve humans and artificial agents is value inference, the process of identifying values and reasoning about human value preferences. We introduce a framework that connects the value inference...
conference paper 2023
document
Wolfert, A.R.M. (author)
Current systems design and decision management methodologies can be single-sided, ignoring or failing to capture the dynamic interplay between multi-stakeholder preferences (‘what they want’) and system performances (‘what they can’). In addition, these methodologies often contain fundamental modelling errors and do not provide single best-fit...
book 2023
document
Hanif, Hilmy (author), Constantino Torres, J.E. (author), Sekwenz, M.T. (author), van Eeten, M.J.G. (author), Ubacht, J. (author), Wagner, Ben (author), Zhauniarovich, Y. (author)
The AI Act represents a significant legislative effort by the European Union to govern the use of AI systems according to different risk-related classes, linking varying degrees of compliance obligations to the system's classification. However, it is often critiqued due to the lack of general public comprehension and effectiveness regarding...
conference paper 2023
document
Suresh Iyer, A. (author)
Moral support with AI has been gaining traction. The proponents of moral support with AI claim that some of the more problematic behavioural patterns of humans can be resolved with the help of AI, such as inability to extend moral concern to global level problems like climate change and refugee crisis. They offer a variety of ways of doing so-...
conference paper 2022
document
Giunti, Guido (author), Haverinen, Jari (author), Reponen, Jarmo (author)
The potential of mHealth is enormous for chronic conditions, yet the integration of these technologies into the clinical infrastructures and healthcare pathways remains an ongoing challenge. Digi-HTA has been developed to support health technology assessment activities for novel digital healthcare technologies. The use of Early Health...
conference paper 2022
document
Yrttiaho, Tiia (author), Isomursu, Minna (author), Giunti, Guido (author)
Patient and public involvement (PPI) is increasingly used for improving quality of the research. There are many barriers in translating PPI into practice, including lacking examples of good practices. Frameworks that have been developed in one setting do not readily transfer to other settings. In this paper, we examine the implementation of...
conference paper 2022
document
Browne, J.T. (author), Bakker, Saskia (author), Yu, Bin (author), Lloyd, P.A. (author), Ben Allouch, Somaya (author)
From diagnosis to patient scheduling, AI is increasingly being considered across different clinical applications. Despite increasingly powerful clinical AI, uptake into actual clinical workflows remains limited. One of the major challenges is developing appropriate trust with clinicians. In this paper, we investigate trust in clinical AI in a...
conference paper 2022
document
Cavalcante Siebert, L. (author), Liscio, E. (author), Murukannaiah, P.K. (author), Kaptein, Lionel (author), Spruit, Shannon (author), van den Hoven, M.J. (author), Jonker, C.M. (author)
We propose methods for an AI agent to estimate the value preferences of individuals in a hybrid participatory system, considering a setting where participants make choices and provide textual motivations for those choices. We focus on situations where there is a conflict between participants' choices and motivations, and operationalize the...
conference paper 2022
document
Liscio, E. (author), Jonker, C.M. (author), Murukannaiah, P.K. (author)
conference paper 2022
document
Wever, Mark (author), Romera, Alvaro (author), Wognum, Nel (author), Shah, Munir (author)
To solve complex problems, researchers are increasingly working in large, integrated research programmes. Integration of projects within a single programme rather than supporting a range of individual, more autonomous projects, is supposed to lead to several benefits, including: creating and enhancing synergies amongst projects, improving...
conference paper 2022
document
Wang, T. (author), Giunti, Guido (author), Melles, M. (author), Goossens, R.H.M. (author)
Since Covid-19, digital health interventions (DHIs) have been embraced as never before. The pandemic led to many new challenges, including the patient experience in digital health care delivery. In this literature study, we identified and synthesized factors that impact patient experience in digital health (dPEx), and reviewed the methods and...
conference paper 2022
document
Guardado, Sharon (author), Isomursu, Minna (author), Giunti, Guido (author)
Integration of digital self-management solutions into health care processes requires the involvement of health care professionals in the adoption and use of the solutions as part of the care pathway. We conducted 23 interviews with diverse profiles of health care professionals participating in the treatment of chronic patients in three...
conference paper 2022
Searched for: mods_originInfo_publisher_s%3A%22IOS%255C+Press%22
(1 - 20 of 245)

Pages