Fake LinkedIn Profiles Created Using GAN Photos

February 28, 2022

More than a thousand inauthentic LinkedIn profiles, suspected to be using Generative Adversarial Network (GAN) generated photos, were flagged by researchers at Stanford and subsequently removed for violating policies against fake profiles and misinformation. These incidents underscore the importance of safe and secure AI practices and the need for robust AI governance. For those interested in shaping responsible AI discourse and contributing to harm prevention efforts, JOIN US at HISPI Project Cerebellum.

This incident serves as an example of how the HISPI Project Cerebellum TAIM (Govern) can be utilized to improve AI safety standards by enforcing policies against deepfake profiles. The data from this incident would help in Measuring the impact of such incidents, contributing to the overall understanding of AI risks and mitigating them.

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.10 — similarity 0.672, rank 1. TAIM detail and related incidents →
MEASURE 2.6 — similarity 0.670, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.660, rank 3. TAIM detail and related incidents →

Alleged deployer: unknown
Alleged developer: unknown
Alleged harmed parties: linkedin-users

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/174

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.