AI detection arms race misses the real problem of trust in scholarship
The debate over AI-generated academic writing is framed as a technological contest between AI generators and detectors, but this is misguided. The core issue is trust: if institutions evaluate scholarship solely through writing, they will be trapped in an endless arms race against increasingly capable machines. The real challenge is to build trust differently, not to perfect detection.
Key facts
- The debate is often framed as a contest between AI generators and AI detectors.
- The author argues this framing is wrong.
- The real issue is trust in scholarship.
- Institutions that judge scholarship only through writing will face an endless arms race.
- AI machines are increasingly capable of generating convincing text.
Entities
Institutions
- South China Morning Post