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Designing a feature selection method based on explainable artificial intelligence
Nowadays, artificial intelligence (AI) systems make predictions in numerous high stakes
domains, including credit-risk assessment and medical diagnostics. Consequently, AI …
domains, including credit-risk assessment and medical diagnostics. Consequently, AI …
A nascent design theory for explainable intelligent systems
Due to computational advances in the past decades, so-called intelligent systems can learn
from increasingly complex data, analyze situations, and support users in their decision …
from increasingly complex data, analyze situations, and support users in their decision …
[PDF][PDF] Explainable Robo-Advisors: Empirical Investigations to Specify and Evaluate a User-Centric Taxonomy of Explanations in the Financial Domain.
Abstract Even though Recommender Systems (RS) have been widely applied in various
financial domains such as Robo-advisors (RA), these systems still operate as a black box …
financial domains such as Robo-advisors (RA), these systems still operate as a black box …
Algorithmic decision-making facilities: Perception and design of explainable ai-based decision support systems
LV Herm - 2023 - opus.bibliothek.uni-wuerzburg.de
Recent computing advances are driving the integration of artificial intelligence (AI)-based
systems into nearly every facet of our daily lives. To this end, AI is becoming a frontier for …
systems into nearly every facet of our daily lives. To this end, AI is becoming a frontier for …