Large language models (LLMs) are often poor philosophers. But these shortcomings make them more useful for teaching, not less.

Current LLMs are considered problematic by many philosophy instructors due to issues such as basic logical errors and a lack of consistent positions, which can undermine authentic learning.

While LLMs can function as helpful coauthors, they might encourage some students to simply copy responses rather than develop their own critical thinking and argumentation skills.

The best approach is to have students critique AI-generated philosophical arguments, leveraging the flaws of LLMs to foster deeper engagement and understanding in philosophical concepts.

By placing emphasis on critique rather than collaboration, instructors can utilize LLMs to cultivate students' analytical skills, ensuring that they don't become overly reliant on AI for thought.

Read at Apaonline