Discussion: Reconciling Legal Frameworks and Institutional Policies on AI in Ukraine
The discourse surrounding generative technology in higher education demonstrates that technological deterrence alone fails to secure ethical scholarship. In the context of Ukraine, the rapid integration of algorithmic writing tools challenges conventional interpretations of authorship, necessitating a comprehensive approach that reconciles private-law protections with university-level normative guidelines [1]. Contemporary legal scholarship underscores that determining intellectual property boundaries and individual accountability in AI-assisted academic works requires precise private-law definitions regarding original creative contribution versus automated synthesis [2]. Without coherent statutory guidance, institutional policies often fluctuate between punitive prohibition and unmonitored adoption, which destabilizes pedagogical efficacy and academic standards across departments [6]. Consequently, educational authorities and universities in Ukraine face the imperative to align domestic integrity frameworks with international standards, ensuring that institutional policies establish transparent parameters for algorithmic assistance while preserving personal responsibility for scholarly outputs [1]. Rather than treating generative models purely as an integrity risk, academic governance must institutionalize proactive attribution protocols, revised assessment designs, and digital literacy frameworks [6]. Synthesizing civil-law perspectives on authorship with institutional codes of conduct establishes a coherent regulatory foundation, allowing Ukrainian higher education institutions to navigate technological disruptions while sustaining rigorous academic integrity [2].