IJCA Vol 4 i1 2025 webmag - Flipbook - Page 38
38 The International Journal of Conformity Assessment
However, for AI to be adopted responsibly, key
challenges must be addressed—including concerns
around transparency, ethics, data quality, and
regulatory clarity. Even now, some assessors are
already using available AI tools to generate or polish
their reports, highlighting the urgency of a balanced
approach. Professionals should incorporate human
oversight, prioritize explainable AI systems, and invest
in stronger data infrastructure. Meanwhile, regulators
must work to de昀椀ne accountability—especially in
cases involving liability for AI-driven decisions.
With the right safeguards in place, AI can continue
to drive innovation in conformity assessment while
maintaining trust, safety, and integrity across global
markets.
References
[1] International Organization for Standardization. (2020).
Conformity assessment principles. ISO.
[2] McKinsey & Company. (2023). AI in industry: Unlocking
the potential of arti昀椀cial intelligence. McKinsey &
Company.
[3] Chollet, F. (2021). Deep learning with Python (2nd ed.).
Manning Publications.
[4] Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep
learning. MIT Press.
[5] Automotive News. (2023, June 15). Augmented reality
transforms inspection processes. Automotive News.
[6] LeCun, Y. (2015). Deep learning advances: A review.
Nature, 521(7553), 436–444. https://doi.org/10.1038/
nature14539
[7] UAE Ministry of Industry and Advanced Technology.
(2024). UAE industry report 2024: Manufacturing and AI
integration. Government of UAE.
[8] AI Multilingual Research Group. (2022). Multilingual AI
tools for regulatory compliance: A study. Journal of AI
Applications, 14(3), 45–60.
[9] Kazakhstan Ministry of Trade and Integration. (2024).
Annual trade and certi昀椀cation report 2024. Government
of Kazakhstan.
[10] Mittelstadt, B. (2019). AI transparency issues:
Challenges and solutions. Ethics and Information
Technology, 21(4), 305–318.
[11] European Union Audit Of昀椀ce. (2021). EU audit report
2021: AI in certi昀椀cation processes. European Union
Publications Of昀椀ce.
[12] AI Ethics Journal Editorial Board. (2020). Bias in AI: A
MENA region perspective. AI Ethics Journal, 2(1), 12–25.
[13] World Bank. (2022). Data infrastructure in MENA:
Opportunities and gaps. World Bank Publications.
[14] Iraq Ministry of Industry and Minerals. (2023). Iraq
industry review 2023: Digital transformation challenges.
Government of Iraq.
[15] Smith, J., & Brown, L. (2022). GDPR analysis: Limitations
in regulating AI decision-making. European Data
Protection Law Review, 8(2), 89–102.
[16] Saudi Quality Association. (2023). Survey on AI
integration in conformity assessment. Saudi Quality
Association Press.
[17] Egyptian Export Council. (2023). 2023 annual report: AI
in agricultural export certi昀椀cation. Egyptian Ministry of
Trade and Industry.
[18] International Organization for Standardization. (2017).
ISO/IEC 17025:2017 – General requirements for the
competence of testing and calibration laboratories. ISO.
[19] Lundberg, S. M., & Lee, S.-I. (2017). A uni昀椀ed approach
to interpreting model predictions. Advances in Neural
Information Processing Systems, 30, 4765–4774.
[20] Smart Dubai Of昀椀ce. (2024). Smart Dubai initiative:
Building a data-driven future. Government of Dubai.
[21] UNESCO. (2021). Recommendation on the ethics
of arti昀椀cial intelligence. United Nations Educational,
Scienti昀椀c and Cultural Organization.
Author Biography
Hodjat A. Bagheri holds a BSc in Industrial
Engineering and is a distinguished expert in
conformity assessment, standardization, and
systems engineering. Based in Fredericton,
Canada, he serves as Head Manager of the BRSM
Certi昀椀cation Body in Istanbul, Turkey, while also
working as a freelance assessor and lead auditor.
With an extensive background in consulting and
auditing ISO management systems—including
ISO 9001, ISO 14001, ISO 45001, ISO 50001,
ISO 22000, and ISO 13485—Hodjat has guided
numerous organizations toward operational
excellence. He brings a wealth of experience in
designing systems and production lines for the
food and medical device industries. As a member
of the ISIRI Standards Development Committee
and ISIRI Technical Committees TC 301 and TC
163, he actively shapes international standards.
His research, af昀椀liated with ISO initiatives, focuses
on integrating advanced methodologies, such
as arti昀椀cial intelligence, into con昀椀rmation and
validation processes, bridging practical industry
applications with innovative regulatory frameworks
to drive global market advancements.
