"Fighting AI Cheating: My 'Trap Question' Experiment with Gemini & DeepSeek"
"The rise of LLMs like Gemini and DeepSeek has me, a statistics professor, sweating about exam cheating. So, I cooked up a 'trap question' strategy: craft questions using familiar statistical terms in a logically impossible way.
I used Gemini to generate these initial questions, then fed them to DeepSeek. The results? DeepSeek responded with a surprisingly plausible-sounding analysis, ultimately arriving at a conclusion that was utterly illogical despite its confident tone.
This gives me hope for catching AI-powered cheating today. But let's be real: LLMs will adapt. This isn't a silver bullet, but perhaps the first shot in an escalating battle.
Edited: Used Gemini to improve my grammar and style. Also, I am not going to reveal my search for the best method to desing a "trap question" since it would be used by LLM to recognize those questions. Perhaps those questions need some real deep thinking.
"The rise of LLMs like Gemini and DeepSeek has me, a statistics professor, sweating about exam cheating. So, I cooked up a 'trap question' strategy: craft questions using familiar statistical terms in a logically impossible way.
I used Gemini to generate these initial questions, then fed them to DeepSeek. The results? DeepSeek responded with a surprisingly plausible-sounding analysis, ultimately arriving at a conclusion that was utterly illogical despite its confident tone.
This gives me hope for catching AI-powered cheating today. But let's be real: LLMs will adapt. This isn't a silver bullet, but perhaps the first shot in an escalating battle.
Edited: Used Gemini to improve my grammar and style. Also, I am not going to reveal my search for the best method to desing a "trap question" since it would be used by LLM to recognize those questions. Perhaps those questions need some real deep thinking.