Blockchain for Artificial Intelligence: An Industry and Literature Survey

Ciprian Paduraru, Augustin Jianu, Alin Stefanescu

2023

Abstract

The requirements of today’s applications and their users set high demands and expectations. AI is a part of these and has played an important role recently. However, the credibility of AI methods is controversial in many cases, as is data security and user privacy. On the other hand, Blockchain is a trending technology that offers security and privacy as required by many enterprise applications. The presentation will provide an overview of how AI and Blockchain can be integrated for mutual benefit: (a) using Blockchains to make AI systems more trustworthy and private data secure, (b) using AI to improve Blockchain related operations and internal algorithms. The presentation includes examples from the literature, established research in the field, and practical examples from industry.

Paper Citation

in Harvard Style

Paduraru C., Jianu A. and Stefanescu A. (2023). Blockchain for Artificial Intelligence: An Industry and Literature Survey. In Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT; ISBN 978-989-758-665-1, SciTePress, pages 712-719. DOI: 10.5220/0012147200003538

in Bibtex Style

@conference{icsoft23,
author={Ciprian Paduraru and Augustin Jianu and Alin Stefanescu},
title={Blockchain for Artificial Intelligence: An Industry and Literature Survey},
booktitle={Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT},
year={2023},
pages={712-719},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012147200003538},
isbn={978-989-758-665-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Software Technologies - Volume 1: ICSOFT
TI - Blockchain for Artificial Intelligence: An Industry and Literature Survey
SN - 978-989-758-665-1
AU - Paduraru C.
AU - Jianu A.
AU - Stefanescu A.
PY - 2023
SP - 712
EP - 719
DO - 10.5220/0012147200003538
PB - SciTePress