KBU recognizes generative AI as a positive and creative educational tool in the fields of learning, teaching, and assessment. However, it strictly adheres to the principles of ethical use, responsibility, and compliance with academic and administrative standards when utilizing generative AI for learning, research, and administrative tasks.

His x-x-document is designed to provide guidance to students and faculty so that tools and technologies like generative AI continue to evolve.

Users must adopt responsible and ethical practices when employing generative AI technologies, recognizing and exploring the opportunities and limitations these tools present. Proper use of generative AI will promote critical thinking about what is being created and provide innovative learning strategies tailored to each academic discipline. However, users must be aware of the potential for errors, biased information, and plagiarism risks associated with AI tools, and should always critically x-x-evaluate results.

Introduction to Generative AI

Generative AI is a type of artificial intelligence technology that has the capability to automatically generate new data.

This AI understands user intent and can produce various forms of content—such as text, images, audio, and video—based on the provided data.

Recent examples of generative AI services include text generation AIs (ChatGPT, Google Gemini, Microsoft Copilot, Bard, Bing), image generation AIs (DALL-E 2, Stable Diffusion, Midjourney), voice generation AIs (Clova Dubbing, VoiceBox), video generation AIs (VCAT, Runway), and writing AIs (Magic Write, Notion AI). Users can input text-based prompts to engage in conversations or generate coherent sentences and diverse media content.

These AIs can be utilized for a variety of purposes, including information retrix-x-eval, personalized content delivery, and enhancing the learning experience, and they continue to expand and evolve across different application domains.

Common Guidelines for Professors and Learners

Users must understand the fundamental principles of generative AI and grasp the strengths and weaknesses of these technologies.

To achieve high-quality outcomes using generative AI, users must become proficient in prompt usage.

Users should recognize the limitations of generative AI detection tools.

Given the rapid advancements in generative AI technology, users should stay informed about the latest updates and trends.

Users must not blindly trust the results generated by generative AI and should verify outcomes through reliable sources.

• Understanding the Use of Generative AI:
  • Professors should comprehend how to utilize generative AI and establish standards for its use according to the course objectives. Generative AI usage should be clearly stated in the syllabus, along with guidelines for citing sources and ethical use.
• Explaining Learning Objectives and Precautions:
  • Educators should clarify the learning objectives, significance, and value of using generative AI to students.
  • If necessary, provide students with a list of available AI tools.
  • Clearly communicate academic standards regarding cheating and plagiarism when using generative AI, ensuring students cite the sources of AI-generated results.
  • Inform students that they are responsible for any issues arising from submitting results without verification.
• Strengthening Ethical Commitment:
  • Using results generated by generative AI without modification may be considered plagiarism; thus, professors should guide students on how to reinterpret results and create new ideas.
• Utilizing AI Detection Tools:
  • Employ tools like Turnitin&s &AI detection& feature to assess the use of AI and inform students about the purpose of these tools beforehand.

• Generative AI is used to support learning and research, enhance the learning experience, and expand knowledge. Learners should utilize generative AI to achieve their personal learning goals and educational values.
• Students should familiarize themselves with the guidelines provided by professors regarding the use of generative AI in class activities and assignments.
• When using AI, learners are encouraged to maintain their creativity and critically analyze results, adding personal insights rather than submitting them unaltered.
• Always review the accuracy of AI-generated results and verify facts through trusted sources to ensure that no misinformation is included.
• Be cautious not to handle sensitive personal information or confidential research matters.
• Clearly cite the sources of any content generated by generative AI, recognizing that failure to do so may constitute academic misconduct.
• KBU Generative AI Use Ethics Pledge:Students must pledge to utilize generative AI responsibly and submit an AI ethical commitment. This written and signed commitment affirms adherence to guidelines, prevention of academic misconduct, and compliance with ethical standards.
• Be aware that issues regarding intellectual property rights for AI-generated content are not yet fully resolved; ax-x-void using AI for proprietary work or critical decision-making.
• The use of generative AI must comply with legal standards, considering the impact on university members and society.
• Data used in AI systems should be legally and ethically sourced, with human oversight of AI-generated results.
• Staff should regularly undergo training on AI-related issues, including risks, security management, and ethical usage.

When using generative AI for tasks, all outputs generated must be appropriately cited. The AI model, the version, and the prompt should be clearly specified. The citations should follow the formats below:

APA Style

• 1. In-text citation

  Citation including the prompt and AI-generated text (author of the generative AI model, release year of the version)
  Example:
  The prompt “Is the belief that people with the T type in MBTI are unable to empathize true?” resulted in ChatGPT generating the text ”The belief that T types cannot empathize is a generalization, and it is incorrect to say that all T types lack empathy” (OpenAI, 2023).

• 2. Reference List Entry

  Author of the generative AI model. (release year of the version). Generative AI model (The version used) [Large language model]. URL
  Example:
  OpenAI. (2023). ChatGPT(version 4) [Large language model].https://chat.openai.com/chat
  [Reference] https://apastyle.apa.org/blog/how-to-cite-chatgpt

MLA Style

• 1. In-text citation

  Citation including the prompt and AI-generated text (“The first three words of your prompt“). Example: When asked whether the chicken or the egg came first, ChatGPT mentioned that it is &the classic question that has puzzled people for centuries& and explained that ”from an evolutionary perspective, the egg came first, as the ancestor of the chicken already laid eggs, and the first true 'chicken' was born from a mutation in one of those eggs.” (”Which came first“).

• 2. Reference List Entry

  ”Your prompt“ prompt. Generative AI model, the version used, author of the generative AI model, date content generated,URL.
  Example:
  ”Which came first, the chicken or the egg?“ prompt. ChatGPT, version 4, OpenAI, 11 May. 2023, chat.openai.com/chat
  [Reference]https://style.mla.org/citing-generative-ai/

Basic Guidelines for Using Generative AI

KBU acknowledges generative AI (such as ChatGPT) as a valuable tool to enhance work efficiency and support research in innovative ways. However, when utilizing generative AI, staff must emphasize ethical use, responsibility, and compliance with University guidelines on information security and administrative standards. These guidelines aim to provide staff with guidance on the safe and effective use of generative AI tools.

• Usage Procedures:
  • Before using generative AI for tasks, staff members must obtain approval from their supervisors and complete a pre-use checklist. The checklist includes critical items for AI use, such as data privacy, handling of confidential information, reviewing results, and proper citation, all of which must be confirmed and adhered to before using any AI tool.
• Training and Education:
  • Supervisors are responsible for educating staff on AI usage and supporting them in completing training on privacy and information security.
• Data Protection:
  • Confidential, personal, or health-related information must not be uploaded or shared with AI tools. Use of AI tools is permitted only when security and risk assessments are complete.
• Tool Authorization:
  • According to university policies, specific AI tools may be authorized for use. For tasks involving confidential information, only tools with completed security and suitability reviews should be utilized.
• Result Verification:
  • Since generative AI may produce inaccurate or biased outcomes, human review and verification of results are required.
• Usage x-x-documentation:
  • The use of generative AI should be x-x-documented, and any AI involvement should be cited appropriately.
• Policy Review:
  • When using AI tools, staff must review user agreements and privacy policies and consult with the legal or security department as necessary.
• Intellectual Property:
  • Due to unresolved intellectual property issues with AI-generated content, AI tools should not be used for proprietary work or critical decision-making processes.
• Ethical Use:
  • AI usage must comply with legal regulations and consider the potential impact on university members and society.
• Data Quality and Management:
  • Data used in AI systems must be collected lawfully and ethically, with human oversight for all AI-generated outputs.
• Ongoing Education:
  • Staff should complete regular AI-related training to understand the risks, security measures, and ethical considerations of AI technologies.