Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces

TL;DR

This paper introduces Open-eye, an open online platform designed to evaluate and study human ability to distinguish AI-synthesized faces from real ones, addressing a gap in existing research tools.

Contribution

The paper presents the design and workflow of Open-eye, the first open platform dedicated to studying human performance in detecting AI-generated faces.

Findings

Open-eye enables large-scale human performance studies.

It provides insights into human detection accuracy and challenges.

The platform facilitates future research on AI face detection and social impacts.

Abstract

AI-synthesized faces are visually challenging to discern from real ones. They have been used as profile images for fake social media accounts, which leads to high negative social impacts. Although progress has been made in developing automatic methods to detect AI-synthesized faces, there is no open platform to study the human performance of AI-synthesized faces detection. In this work, we develop an online platform called Open-eye to study the human performance of AI-synthesized face detection. We describe the design and workflow of the Open-eye in this paper.