Today’s AI systems sorely lack the essence of human intelligence: Understanding the situations we experience, being able to grasp their meaning. The lack of humanlike understanding in machines is underscored by recent studies demonstrating lack of robustness of state-of-the-art deep-learning systems. Deeper networks and larger datasets alone are not likely to unlock AI’s “barrier of meaning”; instead the field will need to embrace its original roots as an interdisciplinary science of intelligence.
Beschreibung
Information | Free Full-Text | Artificial Intelligence Hits the Barrier of Meaning
%0 Journal Article
%1 mitchell2019artificial
%A Mitchell, Melanie
%D 2019
%J Information
%K ai deep_neural_networks meaning mitchell understanding
%N 2
%P 51
%R 10.3390/info10020051
%T Artificial Intelligence Hits the Barrier of Meaning
%U https://www.mdpi.com/2078-2489/10/2/51
%V 10
%X Today’s AI systems sorely lack the essence of human intelligence: Understanding the situations we experience, being able to grasp their meaning. The lack of humanlike understanding in machines is underscored by recent studies demonstrating lack of robustness of state-of-the-art deep-learning systems. Deeper networks and larger datasets alone are not likely to unlock AI’s “barrier of meaning”; instead the field will need to embrace its original roots as an interdisciplinary science of intelligence.
@article{mitchell2019artificial,
abstract = {Today’s AI systems sorely lack the essence of human intelligence: Understanding the situations we experience, being able to grasp their meaning. The lack of humanlike understanding in machines is underscored by recent studies demonstrating lack of robustness of state-of-the-art deep-learning systems. Deeper networks and larger datasets alone are not likely to unlock AI’s “barrier of meaning”; instead the field will need to embrace its original roots as an interdisciplinary science of intelligence.},
added-at = {2024-03-07T11:35:27.000+0100},
article-number = {51},
author = {Mitchell, Melanie},
biburl = {https://www.bibsonomy.org/bibtex/25e930fddb35d0e46830e84357c730ba6/tabularii},
description = {Information | Free Full-Text | Artificial Intelligence Hits the Barrier of Meaning},
doi = {10.3390/info10020051},
interhash = {56df8974811946ab0a66e1956c857b0f},
intrahash = {5e930fddb35d0e46830e84357c730ba6},
issn = {2078-2489},
journal = {Information},
keywords = {ai deep_neural_networks meaning mitchell understanding},
number = 2,
pages = 51,
timestamp = {2024-03-07T11:42:16.000+0100},
title = {Artificial Intelligence Hits the Barrier of Meaning},
url = {https://www.mdpi.com/2078-2489/10/2/51},
volume = 10,
year = 2019
}