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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Main Author: Alexander I. Iliev
Format: Article
Language:English
Published: Bulgarian Academy of Sciences, Institute of Mathematics and Informatics 2021-09-01
Series:Digital Presentation and Preservation of Cultural and Scientific Heritage
Subjects:
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
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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.
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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
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