Modern Challenges in Machine Learning and Artificial Intelligence
The usage and development of Machine Learning models along with the advancement and popularization of Artificial Intelligence, naturally leads to new challenges in multiple levels in the field. In one hand the trust in the field of AI needs to be boosted in order to increase the adoption rate, on th...
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Format: | Article |
Language: | English |
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Bulgarian Academy of Sciences, Institute of Mathematics and Informatics
2021-09-01
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Series: | Digital Presentation and Preservation of Cultural and Scientific Heritage |
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Online Access: | https://dipp.math.bas.bg/dipp/article/view/68 |
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author | Alexander I. Iliev |
author_facet | Alexander I. Iliev |
author_sort | Alexander I. Iliev |
collection | DOAJ |
description | The usage and development of Machine Learning models along with the advancement and popularization of Artificial Intelligence, naturally leads to new challenges in multiple levels in the field. In one hand the trust in the field of
AI needs to be boosted in order to increase the adoption rate, on the other hand the usage of AI has been largely abused by those who decided to adopt the term in their line of work. A clear line of what is expected from AI and what AI is, must be drawn so that the trust, acceptance and adoption of AI can be increased.
These, and other data related problems are the primary subject of this paper. |
first_indexed | 2024-04-12T01:13:16Z |
format | Article |
id | doaj.art-52b9d5c870494cc2b5d04ba560b2cdaa |
institution | Directory Open Access Journal |
issn | 1314-4006 2535-0366 |
language | English |
last_indexed | 2024-04-12T01:13:16Z |
publishDate | 2021-09-01 |
publisher | Bulgarian Academy of Sciences, Institute of Mathematics and Informatics |
record_format | Article |
series | Digital Presentation and Preservation of Cultural and Scientific Heritage |
spelling | doaj.art-52b9d5c870494cc2b5d04ba560b2cdaa2022-12-22T03:54:03ZengBulgarian Academy of Sciences, Institute of Mathematics and InformaticsDigital Presentation and Preservation of Cultural and Scientific Heritage1314-40062535-03662021-09-011110.55630/dipp.2021.11.2Modern Challenges in Machine Learning and Artificial IntelligenceAlexander I. Iliev0SRH University Berlin, Charlottenburg, Germany; Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, BulgariaThe usage and development of Machine Learning models along with the advancement and popularization of Artificial Intelligence, naturally leads to new challenges in multiple levels in the field. In one hand the trust in the field of AI needs to be boosted in order to increase the adoption rate, on the other hand the usage of AI has been largely abused by those who decided to adopt the term in their line of work. A clear line of what is expected from AI and what AI is, must be drawn so that the trust, acceptance and adoption of AI can be increased. These, and other data related problems are the primary subject of this paper.https://dipp.math.bas.bg/dipp/article/view/68Machine LearningArtificial IntelligenceAI AcceptanceBias in Data |
spellingShingle | Alexander I. Iliev Modern Challenges in Machine Learning and Artificial Intelligence Digital Presentation and Preservation of Cultural and Scientific Heritage Machine Learning Artificial Intelligence AI Acceptance Bias in Data |
title | Modern Challenges in Machine Learning and Artificial Intelligence |
title_full | Modern Challenges in Machine Learning and Artificial Intelligence |
title_fullStr | Modern Challenges in Machine Learning and Artificial Intelligence |
title_full_unstemmed | Modern Challenges in Machine Learning and Artificial Intelligence |
title_short | Modern Challenges in Machine Learning and Artificial Intelligence |
title_sort | modern challenges in machine learning and artificial intelligence |
topic | Machine Learning Artificial Intelligence AI Acceptance Bias in Data |
url | https://dipp.math.bas.bg/dipp/article/view/68 |
work_keys_str_mv | AT alexanderiiliev modernchallengesinmachinelearningandartificialintelligence |