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Asif, Rameez, Hassan, Syed Raheel and Parr, Gerard 
ORCID: https://orcid.org/0000-0002-9365-9132
(2023)
Integrating a blockchain-based governance framework for responsible AI.
Future Internet, 15 (3).
ISSN 1999-5903
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Abstract
This research paper reviews the potential of smart contracts for responsible AI with a focus on frameworks, hardware, energy efficiency, and cyberattacks. Smart contracts are digital agreements that are executed by a blockchain, and they have the potential to revolutionize the way we conduct business by increasing transparency and trust. When it comes to responsible AI systems, smart contracts can play a crucial role in ensuring that the terms and conditions of the contract are fair and transparent as well as that any automated decision-making is explainable and auditable. Furthermore, the energy consumption of blockchain networks has been a matter of concern; this article explores the energy efficiency element of smart contracts. Energy efficiency in smart contracts may be enhanced by the use of techniques such as off-chain processing and sharding. The study emphasises the need for careful auditing and testing of smart contract code in order to protect against cyberattacks along with the use of secure libraries and frameworks to lessen the likelihood of smart contract vulnerabilities.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | algorithms,artificial intelligence,blockchain,cybersecurity,privacy,security,smart contracts,computer networks and communications,sdg 7 - affordable and clean energy,3* ,/dk/atira/pure/subjectarea/asjc/1700/1705 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory Faculty of Science > Research Groups > Centre for Photonics and Quantum Science Faculty of Science > Research Groups > Data Science and AI |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 07 Mar 2023 18:30 |
| Last Modified: | 21 Dec 2024 01:06 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/91441 |
| DOI: | 10.3390/fi15030097 |
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