Grammarly's AI Expert Review Allegedly Used Journalists' and Authors' Names Without Consent

March 11, 2026

Grammarly's Expert Review feature, utilizing a large language model, is accused of generating editing suggestions under the names of journalists, authors, and academics without their approval. The federal class action led by Julia Angwin asserts this practice misappropriates identities for commercial purposes, attributing advice never given by the named individuals. Emphasizing the need for safe and secure AI practices, join HISPI Project Cerebellum to help shape the future of responsible AI incident management through our Trusted AI Model (TAIM), contributing to harm prevention, guardrails for AI, and improving the integrity of AI applications.

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Matched TAIM controls

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

GOVERN 1.1 — similarity 0.643, rank 1. TAIM detail and related incidents →
MAP 4.1 — similarity 0.642, rank 2. TAIM detail and related incidents →
GOVERN 6.1 — similarity 0.637, rank 3. TAIM detail and related incidents →

Alleged deployer: grammarly, superhuman
Alleged developer: grammarly, superhuman
Alleged harmed parties: julia-angwin, journalists, academics, authors, writers, grammarly-users, epistemic-integrity

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1407

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.