Results 31 to 40 of about 27,667 (170)

Explaining coincidences [PDF]

Synthese, 2021
AbstractA traditional account of coincidences has it that two facts are coincidental whenever they are not related as cause and effect and do not have a common cause. A recent contribution by Lando (Noûs 51(1): 132–151, 2017) showed that this account is mistaken.
openaire   +2 more sources

Situativität, Funktionalität und Vertrauen: Ergebnisse einer szenariobasierten Interviewstudie zur Erklärbarkeit von KI in der Medizin

TATuP – Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis
A central requirement for the use of artificial intelligence (AI) in medicine is its explainability, i. e., the provision of addressee-oriented information about its functioning.
Manuela Marquardt, Philipp Graf, Eva Jansen, Stefan Hillmann, Jan-Niklas Voigt-Antons   +4 more
doaj   +1 more source

The influence of interdependence and a transparent or explainable communication style on human-robot teamwork

Frontiers in Robotics and AI, 2022
Humans and robots are increasingly working together in human-robot teams. Teamwork requires communication, especially when interdependence between team members is high.
Ruben S. Verhagen, Mark A. Neerincx , Mark A. Neerincx , Myrthe L. Tielman    +3 more
doaj   +1 more source

Pre Hoc and Co Hoc Explainability: Frameworks for Integrating Interpretability into Machine Learning Training for Enhanced Transparency and Performance

Applied Sciences
Post hoc explanations for black-box machine learning models have been criticized for potentially inaccurate surrogate models and computational burden at prediction time.
Cagla Acun, Olfa Nasraoui
doaj   +1 more source

Explainable embeddings with Distance Explainer

CoRR
21 pages, 12 figures. Accepted to the 4th World Conference on eXplainable Artificial Intelligence.
Christiaan Meijer, E. G. Patrick Bos
openaire   +2 more sources

Explainable AI, but explainable to whom?

CoRR, 2021
Book chapter for AI in ...
Julie Gerlings, Millie Søndergaard Jensen, Arisa Shollo   +2 more
openaire   +3 more sources

XAI: On Explainability and the Obligation to Explain

Digital Society
Abstract The increasing relevance of AI systems paired with their repeatedly observed opacity gave rise to the field of explainable artificial intelligence (XAI). Methods of XAI are being developed and evaluated based on whether they overcome said opacity by providing explanations, thereby apparently pursuing an ...
Karoline Reinhardt, Oliver Buchholz
openaire   +2 more sources

An Explainable Radiogenomic Framework to Predict Mutational Status of KRAS and EGFR in Lung Adenocarcinoma Patients

Bioengineering, 2023
The complex pathobiology of lung cancer, and its spread worldwide, has prompted research studies that combine radiomic and genomic approaches. Indeed, the early identification of genetic alterations and driver mutations affecting the tumor is fundamental
Berardino Prencipe, Claudia Delprete, Emilio Garolla, Fabio Corallo, Matteo Gravina, Maria Iole Natalicchio, Domenico Buongiorno, Vitoantonio Bevilacqua, Nicola Altini, Antonio Brunetti   +9 more
doaj   +1 more source

Explainable Multimedia Feature Fusion for Medical Applications

Journal of Imaging, 2022
Due to the exponential growth of medical information in the form of, e.g., text, images, Electrocardiograms (ECGs), X-rays, and multimedia, the management of a patient’s data has become a huge challenge.
Stefan Wagenpfeil, Paul Mc Kevitt, Abbas Cheddad, Matthias Hemmje   +3 more
doaj   +1 more source

Approach or avoidance? Relationship between perceived AI explainability and employee job crafting

Acta Psychologica
Amid growing concerns about the lack of transparency in algorithms, heightened focus has been placed on artificial intelligence (AI) explainability in workplace decision-making processes.
Weiwei Huo, Jiaying Xie, Jiaqi Yan, Tianyi Long, Bingqian Liang   +4 more
doaj   +1 more source