Purportedly AI-Altered Images Reportedly Distort Evidence After Minneapolis Shooting of ICU Nurse Alex Pretti

January 24, 2026

In the aftermath of the fatal shooting of Minneapolis ICU nurse Alex Pretti by U.S. Customs and Border Patrol agents, unverified images allegedly altered using AI were circulated on social media. These images reportedly distorted evidence of the incident by portraying Pretti as threatening law enforcement and altering the presence of weapons. The potentially misleading images may have contributed to the misidentification of individuals, obscuring verified video and eyewitness accounts and reinforcing partisan narratives.

This tragic event underscores the importance of responsible AI governance, trustworthy AI practices, and preventing harm caused by such incidents. For those interested in shaping the future of safe and secure AI, we invite you to join the HISPI Project Cerebellum community and contribute to our AI incident database through Govern, Map, Measure or Manage functions.

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Matched TAIM controls

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

Alleged deployer
pro-trump-social-media-influencers, unidentified-social-media-users, partisan-online-accounts, unknown-disinformation-actors
Alleged developer
google
Alleged harmed parties
alex-pretti, family-of-alex-pretti, epistemic-integrity

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/1358

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.