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HSE University's Policy on Artificial Intelligence Use in Student Works

HSE University regards artificial intelligence (AI) as a tool with the potential to enhance educational, research, expert-analytical, and administrative processes. The purpose of using AI technologies is not only to facilitate human labor but also to understand AI's impact on the transformation of technological, socio-economic, political, and cultural realities. It is essential not only to learn how to work with AI tools for solving specific professional tasks but to do so thoughtfully, critically evaluating the results obtained and potential risks.

 

HSE University does not prohibit the use of artificial intelligence (AI) by students university-wide. They may employ generative models (for text, code, images, etc.) in completing academic work (written or oral). However, to comply with academic integrity standards, students must disclose any use of AI in their work, specifying the nature and extent of AI-assisted content. Failure to do so constitutes a violation of academic norms and may result in disciplinary action under the Student Internal Regulations.

Generative model use refers to the application of algorithms for automated content generation in the creation of written work or other academic outputs produced by students in completing assignments given by instructors or internship supervisors.

Declaration Requirements for AI Use

Term Papers and Graduation Theses

  • How to declare AI use:
    When uploading term papers or theses, students (or groups of students) must declare the purpose of AI usage, specifying the technology applied and evaluating its effectiveness. A dedicated section is provided in the upload interface for this purpose.

  • Consequences of undeclared AI use:
    Undeclared use of generative models is defined as the detection of AI-generated text in written academic work without proper disclosure in the designated section. Since January 2024, HSE’s plagiarism detection system includes a module for identifying AI-generated content.

    • Undeclared AI use constitutes an academic integrity violation and may result in disciplinary action under the Student Internal Regulations.

    • For Final State Certification (FSC) theses, such violations may result in expulsion as a disciplinary measure. The violation may occur at any stage—before or during the thesis defense.

2. Other Written Academic Work (Including Practical Training Elements)

  • How to declare AI use:
    Students (or groups of students) must include a dedicated section titled "Description of Generative Models Used", specifying:

    • The parts of the text generated using AI (entire work, specific sections, or fragments).

    • For each part:

      • The purpose and method of AI application (fully generated text, AI-generated text with author edits, or original text incorporating AI-generated materials).

      • The name of each generative model used, with a web link (or description of another source).

      • An evaluation of the model’s effectiveness in achieving the assignment’s objectives.

  • Consequences of undeclared AI use:
    Detection of AI-generated text without proper disclosure constitutes an academic integrity violation, subject to disciplinary action under the Student Internal Regulations.

Regulating AI Use: Guidelines for Instructors and Practical Training Supervisors

Restricting AI Usage

  • Instructors may prohibit the use of generative models during assessments by explicitly stating this restriction in the course syllabus.

  • If AI use is prohibited per the syllabus, the instructor has the right to assign a grade of "0" for any work suspected of containing AI-generated content.

Verification of Student Work

  • Instructors and practical training supervisors may review any student submission for improper borrowing, including AI-generated text.

  • If a student fails to properly declare AI usage as required, the instructor may assign a grade of "0" for work showing signs of AI assistance.

Assessing Legitimate AI Use

  • The final decision on whether generative models were used appropriately (provided the student has completed the required disclosure section) rests with the course instructor or practical training supervisor.


 

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