GPTZero: Robust Detection of LLM-Generated Texts

TL;DR

GPTZero is a new AI detection tool that accurately and robustly distinguishes between human-written and AI-generated texts across various domains, addressing concerns of misinformation and low-quality content.

Contribution

It introduces a hierarchical, multi-task architecture for flexible and accurate detection, with enhanced robustness against adversarial attacks and paraphrasing.

Findings

Achieves state-of-the-art accuracy across multiple domains

Demonstrates superior robustness to adversarial attacks

Provides explainable detection and user education

Abstract

While historical considerations surrounding text authenticity revolved primarily around plagiarism, the advent of large language models (LLMs) has introduced a new challenge: distinguishing human-authored from AI-generated text. This shift raises significant concerns, including the undermining of skill evaluations, the mass-production of low-quality content, and the proliferation of misinformation. Addressing these issues, we introduce GPTZero a state-of-the-art industrial AI detection solution, offering reliable discernment between human and LLM-generated text. Our key contributions include: introducing a hierarchical, multi-task architecture enabling a flexible taxonomy of human and AI texts, demonstrating state-of-the-art accuracy on a variety of domains with granular predictions, and achieving superior robustness to adversarial attacks and paraphrasing via multi-tiered automated red teaming. GPTZero offers accurate and explainable detection, and educates users on its responsible use, ensuring fair and transparent assessment of text.