Results 61 to 70 of about 29,455 (191)
Conceptual Misalignment in XAI
This paper argues that the prevailing XAI paradigm suffers not from technical limitations but from a profound philosophical misconception: the assumption that explanation is primarily about transparency. We argue that the development of useful explanation is not fundamentally a question of information transfer, but of epistemic parity.
Rolf Hvidtfeldt +7 more
openaire +3 more sources
Explainable Artificial Intelligence for Diabetes Diagnosis [PDF]
E3S Web of ConferencesWhether young, old, type 1, type 2, gestational, newly diagnosed, long-time sufferer, caretaker or loved one, millions of people are afflicted and affected by diabetes.
Lamri Mohamed +3 more
doaj +1 more source
Using statistical and machine learning approaches to describe estuarine tidal dynamics
Journal of HydroinformaticsEstuaries are ecologically valuable regions where tidal forces move large volumes of water. To understand the ongoing physical processes in such dynamic systems, a series of estuarine monitoring stations is required.
Franziska Lauer, Frank Kösters
doaj +1 more source
Digital circuits dataset for anomaly detection + ground truth explanations
This dataset is an anomaly benchmark dataset with local ground-truth explanations. It was created based on 4 digital circuits from ISCAS '85 and 74x series benchmarks: C17, 74182, 74283 and 74181. The dataset includes: Truth_Tables Each circuits has 4
Lab, XAI
core +1 more source
Some Marine Algae from Xai-xai
Journal of South African Botany, 1957 (Uploaded by Plazi from the Biodiversity Heritage Library) No abstract provided.
openaire +1 more source
Julia-XAI/ExplainableAI.jl: v0.7.0
<h2>ExplainableAI v0.7.0</h2> <p><a href="https://github.com/Julia-XAI/ExplainableAI.jl/compare/v0.6.3...v0.7.0">Diff since v0.6.3</a></p> <p>This release moves the core interface (<code>Explanation< ...
Adrian Hill
core +1 more source
The Machine as an Autonomous Explanatory Agent
Felsefe DünyasıThe holy grail of Artificial Intelligence (AI) is to transform the machine into an agent that can decide, make inferences, cluster the contents, predict, recommend, and exhibit similar higher cognitive faculties.
Dilek Yargan
doaj +1 more source
Approaching Principles of XAI: A SYSTEMATIZATION
IEEE Transactions on Artificial IntelligenceToday’s Explainable Artificial Intelligence (XAI) landscape is the product of a long history of ever-changing Artificial Intelligence (AI) research and attempts to explain it. It can be vast and confusing. Our historical reconstruction of XAI developments relates AI improvements to their inevitable impact on explanation research.
Raphael Ronge +2 more
openaire +2 more sources