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+## Use of Generative AI — Guidelines and Requirements
+
+Generative AI tools (such as ChatGPT, GitHub Copilot, Gemini, etc.) are widely available and may be used **responsibly** in this course as **learning assistants**. The goal of assignments and projects is not only to produce a working program, but to demonstrate your **understanding of programming concepts** and your ability to explain and modify your own code.
+
+For this reason, the use of generative AI is **allowed but regulated**.
+
+---
+### 1. Acceptable Uses of Generative AI
+You may use generative AI in ways that **support learning**, including:
+- Explaining C++ concepts (e.g. loops, arrays, pointers, structs)
+- Helping you understand compiler or runtime errors
+- Suggesting ideas or approaches in **plain language**
+- Assisting with debugging **after you have attempted the problem yourself**
+- Improving code readability, comments, or naming
+
+---
+
+### 2 Unacceptable Uses of Generative AI
+
+You may **not** use generative AI to:
+- Generate the full project or major parts of it
+- Design the overall architecture of the program
+- Write core logic that you do not fully understand
+- Copy and submit AI-generated code without modification
+- Replace your own reasoning, problem-solving, or debugging effort
+
+Submitting code that you cannot explain or modify will be treated as **plagiarism**, regardless of whether AI was disclosed.
+
+---
+
+### 3. Best Practices for Using AI Effectively
+
+If you choose to use AI, the following practices are strongly recommended:
+
+- **Try first**: Attempt the problem yourself before asking AI
+- **Ask focused questions**:  
+    Instead of “write the code”, ask “why does this loop not work?”
+- **Work in small pieces**:  
+    Use AI for specific concepts, not entire features
+- **Rewrite in your own way**:  
+    Never submit code exactly as produced by AI
+- **Verify and test**:  
+    Always compile, run, and test AI-assisted code
+
+Using AI as a **tutor**, not as a **code generator**, leads to better learning and better results.
+
+---
+
+### 4. Evaluation and Accountability
+
+During grading or oral evaluation, you may be asked to:
+- Explain parts of your code
+- Justify design decisions
+- Make small modifications to your program
+Your grade is based on **understanding and ownership**, not on how quickly the program was completed.