Skip to main Communities My dashboard Log in Sign up Published April 18, 2026 | Version v1 Publication Open ETHICAL PRINCIPLES AS A SOURCE OF LEGAL CERTAINTY IN THE USE OF AI IN INTERNATIONAL COMMERCIAL CONTRACTS: THE PROBLEM OF IMPLEMENTATION Authors/Creators Uktamova, Farangiz Description This paper examines the problem of implementing ethical principles of artificial intelligence (such as fairness, explainability, and non-discrimination) in international commercial contracts. It argues that, without being transformed into measurable contractual terms, ethical standards remain declaratory and lack enforceability. Using the example of a “correlation error”—an algorithmic refusal to engage with a counterparty based on statistical data that does not violate formal legal norms—the paper demonstrates the necessity of contractual mechanisms, including disclosure of methodology, quantitative deviation thresholds, and independent ethical review. It further analyzes institutional limitations of arbitration and issues related to risk allocation. The conclusion is that legal certainty requires a shift from general principles to operational contractual indicators. Files ICET 0406.pdf Files (344.8 kB) Name Size Download all ICET 0406.pdf md5:1fc068d6e169816c9b021953b9f3db8a 344.8 kB Preview Download 21 Views 8 Downloads Show more details All versions This version Views Total views 21 21 Downloads Total downloads 8 8 Data volume Total data volume 2.8 MB 2.8 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.19642274 Markdown [](https://doi.org/10.5281/zenodo.19642274) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19642274.svg :target: https://doi.org/10.5281/zenodo.19642274 HTML <a href="https://doi.org/10.5281/zenodo.19642274"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19642274.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19642274.svg Target URL https://doi.org/10.5281/zenodo.19642274 Resource type Publication Publisher Zenodo Published in INTERNATIONAL CONFERENCE ON ENGINEERING & TECHNOLOGY, 2(4), 21-24, 2026. Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created April 18, 2026 Modified April 18, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies