The promise of flawlessly detecting AI-generated text remains an elusive illusion. Behind the hype lurk ineffective tools, rampant inaccuracy, and social harms. Before relying on marketed tech claims, we must parse realities from AI myths.
The proliferation of advanced AI language models like GPT-4 and ChatGPT has fueled intense interest in AI content detection. Many assume reliable tools now exist to identify text written by AI versus humans. However, the reality is far more complex.
Current AI detectors are plagued by major accuracy issues and have concerning social implications. High error rates lead to frequent false accusations, disproportionately harming groups like non-native speakers. The lines blur on what even constitutes AI versus human writing given the rise of AI assistance tools.
Meanwhile, an adversarial arms race ensues as detection methods are rapidly circumvented