May 27, 2020 · We focus on the contributions that Human Intelligence can bring to eXplainable AI, especially in conjunction with the exploitation of Knowledge Graphs.
People also ask
Who gave the theory of intelligence in AI?
What is the theory of explainable AI?
How does AI mimic human intelligence?
Who invented explainable AI?
eXplainable AI focuses on generating explanations for the output of an. AI algorithm to a user, usually a decision-maker. Such user needs to interpret the AI.
May 27, 2020 · Abstract. eXplainable AI focuses on generating explanations for the output of an. AI algorithm to a user, usually a decision-maker.
May 27, 2020 · This chapter calls for a better interplay between Knowledge Representation and Reasoning, Social Sciences, Human Computation and ...
May 27, 2020 · eXplainable AI focuses on generating explanations for the output of an AI algorithm to a user, usually a decision-maker.
Schematic representation of an eXplainable AI system that integrates semantic technologies into deep learning models.
Duration: 1:47:04
Posted: Feb 10, 2022
Posted: Feb 10, 2022
Most Artificial Intelligence (AI) systems operate using very complex criteria, which makes it difficult for humans to understand and interpret the rationale ...
Who Is This Explanation for? Human Intelligence and Knowledge Graphs for eXplainable AI · I. Celino. Computer Science, Philosophy. Knowledge Graphs for ...
We expose the XAI challenges of AI fields, their existing approaches, limitations and opportunities for Knowledge Graphs and their underlying technologies.