Інститут омбудсмена як гарант захисту цифрових прав людини в Україні: сучасні виклики та зарубіжний досвід
Bibliographic record
Abstract
The article explores institutional mechanisms for the protection of digital human rights in Ukraine. The authors emphasize that in the context of rapid digitalization of social relations, there is a growing need to ensure a new generation of rights – digital rights. Among institutional safeguards, particular attention is given to the role of the Ombudsman. The aim of the study is to provide a comprehensive analysis of the role of the Ukrainian Parliament Commissioner for Human Rights in the field of digital rights protection, to compare its powers with international practices, and to substantiate ways to strengthen this mechanism in Ukraine. The paper analyzes the philosophical, legal, and doctrinal foundations of digital rights, tracing their evolution in international instruments (such as the Universal Declaration of Human Rights and the GDPR) and in Ukrainian national legislation. Based on comparative analysis, the study identifies various models of digital ombudsmen in foreign countries (France, Canada, the EU, Spain), which illustrate a range of approaches – from independent regulators to advisory bodies. The article concludes that, despite the central role of the current Ukrainian Parliament Commissioner for Human Rights, its functional and legal toolkit requires modernization. The Commissioner’s activities include monitoring violations, responding to complaints, conducting public awareness campaigns, and cooperating with state institutions. However, due to the expansion of the digital space and the emergence of new challenges – such as algorithmic discrimination, cybersecurity threats, and opaque content moderation – there is a pressing need to update the Commissioner’s mandate and instruments. The authors justify the need to adapt Ukraine’s human rights protection system to contemporary challenges by establishing a specialized institution or expanding the powers of the existing ombudsman in the field of digital rights. The findings of the study may be used to improve policies for protecting citizens’ rights in the digital environment and to harmonize national legislation with international standards.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".