OPERATIONALIZING ETHICAL AND REGULATORY STANDARDS THROUGH THE INTEGRATION OF ISO/IEC 42001 ON ARTIFICIAL INTELLIGENCE IN RISK-AWARE AUTONOMOUS NONCONVENTIONAL TECHNOLOGIES.
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| Title: | OPERATIONALIZING ETHICAL AND REGULATORY STANDARDS THROUGH THE INTEGRATION OF ISO/IEC 42001 ON ARTIFICIAL INTELLIGENCE IN RISK-AWARE AUTONOMOUS NONCONVENTIONAL TECHNOLOGIES. |
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| Authors: | Iuonas, Claudiu Florin1 f.iuonas@outlook.com, Titu, Aurel Mihail2,3 mihail.titu@ulbsibiu.ro, Nitoi, Dan1 dan.nitoi@upb.ro |
| Source: | Nonconventional Technologies Review / Revista de Tehnologii Neconventionale. Jun2026, Vol. 30 Issue 2, p34-39. 6p. |
| Subjects: | Regulatory compliance, Professional ethics, Government regulation, Risk management in business, Artificial intelligence, Autonomous robots |
| Abstract: | The accelerated development of artificial intelligence has introduced a growing disconnect between technological capabilities and the governance mechanisms required to manage them responsibly. While AI systems are increasingly deployed in critical domains, the lack of structured and unified governance approaches raises concerns related to accountability, transparency, and regulatory compliance. This paper proposes a conceptual and operational framework that integrates ISO/IEC 42001, as a management system standard for artificial intelligence, with the European Union Artificial Intelligence Act, which introduces a risk-based regulatory model. The objective is to move beyond theoretical principles and provide a structured approach for embedding ethical and regulatory requirements into the lifecycle of AI systems. The proposed solution is based on a layered governance model, designed to separate strategic decision-making from operational execution and real-time monitoring. In addition, a risk-based audit methodology is introduced to support continuous validation and early detection of deviations. The paper argues that the integration of management standards with regulatory frameworks creates a more coherent and actionable governance structure, particularly in the case of complex and adaptive AI systems. The approach contributes to the development of trustworthy AI by offering a practical pathway for aligning innovation with accountability. [ABSTRACT FROM AUTHOR] |
| Copyright of Nonconventional Technologies Review / Revista de Tehnologii Neconventionale is the property of Asociatia Romana de Tehnologii Neconventionale (ARTN) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194836292 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: OPERATIONALIZING ETHICAL AND REGULATORY STANDARDS THROUGH THE INTEGRATION OF ISO/IEC 42001 ON ARTIFICIAL INTELLIGENCE IN RISK-AWARE AUTONOMOUS NONCONVENTIONAL TECHNOLOGIES. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Iuonas%2C+Claudiu+Florin%22">Iuonas, Claudiu Florin</searchLink><relatesTo>1</relatesTo><i> f.iuonas@outlook.com</i><br /><searchLink fieldCode="AR" term="%22Titu%2C+Aurel+Mihail%22">Titu, Aurel Mihail</searchLink><relatesTo>2,3</relatesTo><i> mihail.titu@ulbsibiu.ro</i><br /><searchLink fieldCode="AR" term="%22Nitoi%2C+Dan%22">Nitoi, Dan</searchLink><relatesTo>1</relatesTo><i> dan.nitoi@upb.ro</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Nonconventional+Technologies+Review+%2F+Revista+de+Tehnologii+Neconventionale%22">Nonconventional Technologies Review / Revista de Tehnologii Neconventionale</searchLink>. Jun2026, Vol. 30 Issue 2, p34-39. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Regulatory+compliance%22">Regulatory compliance</searchLink><br /><searchLink fieldCode="DE" term="%22Professional+ethics%22">Professional ethics</searchLink><br /><searchLink fieldCode="DE" term="%22Government+regulation%22">Government regulation</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+management+in+business%22">Risk management in business</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Autonomous+robots%22">Autonomous robots</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The accelerated development of artificial intelligence has introduced a growing disconnect between technological capabilities and the governance mechanisms required to manage them responsibly. While AI systems are increasingly deployed in critical domains, the lack of structured and unified governance approaches raises concerns related to accountability, transparency, and regulatory compliance. This paper proposes a conceptual and operational framework that integrates ISO/IEC 42001, as a management system standard for artificial intelligence, with the European Union Artificial Intelligence Act, which introduces a risk-based regulatory model. The objective is to move beyond theoretical principles and provide a structured approach for embedding ethical and regulatory requirements into the lifecycle of AI systems. The proposed solution is based on a layered governance model, designed to separate strategic decision-making from operational execution and real-time monitoring. In addition, a risk-based audit methodology is introduced to support continuous validation and early detection of deviations. The paper argues that the integration of management standards with regulatory frameworks creates a more coherent and actionable governance structure, particularly in the case of complex and adaptive AI systems. The approach contributes to the development of trustworthy AI by offering a practical pathway for aligning innovation with accountability. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Nonconventional Technologies Review / Revista de Tehnologii Neconventionale is the property of Asociatia Romana de Tehnologii Neconventionale (ARTN) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=194836292 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 34 Subjects: – SubjectFull: Regulatory compliance Type: general – SubjectFull: Professional ethics Type: general – SubjectFull: Government regulation Type: general – SubjectFull: Risk management in business Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Autonomous robots Type: general Titles: – TitleFull: OPERATIONALIZING ETHICAL AND REGULATORY STANDARDS THROUGH THE INTEGRATION OF ISO/IEC 42001 ON ARTIFICIAL INTELLIGENCE IN RISK-AWARE AUTONOMOUS NONCONVENTIONAL TECHNOLOGIES. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Iuonas, Claudiu Florin – PersonEntity: Name: NameFull: Titu, Aurel Mihail – PersonEntity: Name: NameFull: Nitoi, Dan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 23598646 Numbering: – Type: volume Value: 30 – Type: issue Value: 2 Titles: – TitleFull: Nonconventional Technologies Review / Revista de Tehnologii Neconventionale Type: main |
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