Navigating Excellence

Academic Integrity:
The Foundation of Science & Research

From classrooms to clinical laboratories, we uphold the highest international standards of transparency, ethics, and evidence-based research.
Definition & Law
“Academic integrity is a set of ethical principles and statutory rules that should guide participants in the educational process during learning, teaching, and conducting scientific (creative) activity...”
Read Art. 42 of the Law of Ukraine "On Education" →

Key Values

Honesty

Truthfulness in learning and research. Absence of deceit and fraud.

Trust

An atmosphere of free exchange of ideas, where everyone can rely on others.

Fairness

Objective assessment, equal requirements for all, and lack of bias.

Respect

Recognition of diversity of opinions and respect for intellectual property.

Responsibility

Readiness to be accountable for one's actions and adhere to established rules.

Courage

Bravery to stand up for one's beliefs, even if it is difficult or disadvantageous.

Types of Violations

Academic Plagiarism

Appropriation of others' texts or ideas without proper citation of the author.

Self-plagiarism

Reuse of one's own previously submitted works as new ones.

Fabrication

Inventing data, research results, or facts that did not actually exist.

Falsification

Deliberate alteration or manipulation of real data to obtain a desired result.

Cheating

Use of cheat sheets, phones, or help from others during control assessments.

Bribery

Attempt to obtain a grade by providing undue benefit to the instructor.

Official Document

Policy on Generative Artificial Intelligence

KhIMU is committed to leadership in innovation. This Policy defines the ethical frameworks and precise guidelines for the application of Artificial Intelligence in the educational process and scientific research, ensuring academic excellence and integrity.

Access Full Policy

Essential Terminology

Generative AI
A type of artificial intelligence capable of synthesizing novel content (text, images, code) in response to user prompts, rather than simply analyzing existing data.
Prompt
The specific input data or instruction provided by a user to an AI system (e.g., ChatGPT) to elicit a specific response or output.
Large Language Models
Deep learning models (e.g., GPT-4, Gemini) trained on vast datasets to understand, summarize, generate, and predict human language.
AI Hallucinations
A phenomenon where AI generates factually incorrect, nonsensical, or unfaithful information while presenting it as fact. Always verify the data.

Guidelines & Rules

Select your role to view specific recommendations

For Students

Permitted

  • Ideation: Use AI for brainstorming, identifying research topics, and structuring work plans.
  • Editing Assistance: Checking grammar, stylistic improvement, and translation (as an auxiliary tool).
  • Visualization: Creating images for presentations (provided that AI generation is explicitly disclosed).
  • Self-Assessment: Generating quizzes and questions to test own knowledge before exams.
  • Initial Research: As a starting point for familiarizing with a topic (subject to mandatory verification of sources!).

Prohibited

  • Academic Plagiarism: Submitting AI-generated text as one's own original work without proper citation.
  • Cheating: Using AI during exams, tests, and assessments (unless explicitly authorized by the instructor).
  • Patient Confidentiality: Inputting personal patient data, medical histories, or photographs into chat bots (Strict ethical violation!).
  • Fabrication: Citing non-existent references or literature "invented" by AI (Hallucinations).
* For further details, please refer to Section 3 of the Policy.
For Academic Staff

Faculty members are entitled and encouraged to integrate AI tools into the educational process:

  • Design assignments where AI usage is an integral part of the learning process (e.g., critical analysis of a ChatGPT response).
  • Utilize AI for creating educational materials, presentations, and case studies (subject to mandatory review and editing).
  • Update assessment methods by focusing on oral defense, critical thinking, and practical skills that are difficult to simulate.
  • Employ AI content detection tools when grading assignments (as a supplementary aid, not sole evidence).
For Researchers
  • Assistance vs. Authorship: GenAI cannot be listed as a co-author of a scientific publication.
  • Declaration: The use of AI for data processing, literature review, or text editing must be clearly stated in the "Methodology" or "Acknowledgments" section.
  • Accountability: The author bears full responsibility for the accuracy of the data, even if it was partially processed by AI.

Protocol for Declaring AI Usage

Transparency is key. If Artificial Intelligence tools were employed, please adhere to the following disclosure algorithm:

1

Specify the Tool

Indicate the full name and version of the model used (e.g., ChatGPT-4o, Midjourney v6, Gemini Pro).

2

Define the Purpose

Explain the specific application: ideation, translation, text editing, or image generation.

3

Indicate the Scope

Specify precisely which portion of the work was generated, modified, or refined using AI.

Citation Example
Include in Introduction or Methodology:
"During the preparation of this project, I utilized the tool ChatGPT (OpenAI, GPT-4 model).

Prompt: "Create a presentation structure on bioethics."

The generated text served as a foundation for planning Chapter 2; however, the final content was written, verified, and refined personally by the author."

Non-Disclosure Liability

The detection of undisclosed AI usage constituting plagiarism entails strict academic liability: course retake or expulsion (pursuant to Clause 5.2 of the Policy).

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