How To Detect And Prevent AI Cheating In Technical Interviews

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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