How to Detect and Prevent AI Cheating in Technical Interviews

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With the rise of AI tools like ChatGPT, technical interviews are increasingly vulnerable to cheating. Companies must adapt by refining their interview processes to assess real-world problem-solving skills rather than memorized answers.

You Should Know: Detecting AI-Generated Responses

1. Check for Overly Structured Answers

  • AI responses often follow a rigid format (e.g., , bullet points, conclusion).
  • Example of a suspicious answer: 
    "To solve this problem, we must first consider the following three points: </li>
</ul>

<ol>
<li>Input validation </li>
<li>Algorithm efficiency </li>
<li>Edge case handling"

    • 2. Ask Scenario-Based Questions

    • Instead of “What is a hash table?” ask:
      “How would you design a caching system for a high-traffic website, and what trade-offs would you consider?”

    3. Use Live Coding with Restrictions

    • Disable internet access during coding tests.
    • Example Linux command to block internet temporarily: 
      sudo iptables -A OUTPUT -j DROP
    • Re-enable after the test: 
      sudo iptables -D OUTPUT -j DROP

    4. Monitor Keystrokes and Behavior

    • Use tools like `logkeys` (Linux keylogger for auditing): 
      sudo apt install logkeys 
sudo logkeys --start --output=/var/log/interview-keystrokes.log

    5. Ask for Debugging Sessions

    • Provide a broken script and ask the candidate to fix it.
    • Example Python error to debug: 
      def divide(a, b): 
return a / b 
print(divide(10, 0))

    Preventing AI Cheating in Remote Interviews

    • Use Proctoring Tools
      – `Zoom` + `OBS` for screen recording.
    • Command to record screen in Linux: 
      ffmpeg -f x11grab -s 1920x1080 -i :0.0 -r 30 output.mp4
    • Require Camera and Screen Sharing
    • Check for multiple monitors with: 
      xrandr --listmonitors
    • Conduct In-Person Whiteboard Interviews
    • Ask candidates to sketch system architectures on a board.

    What Undercode Say

    The battle against AI cheating requires a shift from fact-based questions to experiential assessments. Employers must test:
    – Real-world problem-solving (e.g., debugging, optimization).
    – System design thinking (e.g., scalability, trade-offs).
    – Adaptability (e.g., handling unexpected errors).

    Linux Commands for Secure Interviews:

     Monitor running processes (check for AI tools) 
ps aux | grep -i "chatgpt|copilot"

Check network connections 
netstat -tulnp

Disable copy-paste during tests 
xinput list 
xinput disable <device-id>

    Windows Equivalents:

     List active processes 
Get-Process | Where-Object { $_.ProcessName -like "chatgpt" }

Block internet access temporarily 
Disable-NetAdapter -Name "Ethernet" -Confirm:$false

    Expected Output: A more secure, AI-resistant technical interview process that evaluates genuine skill.

    (No relevant URLs extracted from the original post.)

    References:

    Reported By: Kylermiddleton Stop – Hackers Feeds
    Extra Hub: Undercode MoN
    Basic Verification: Pass ✅

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