Baltimore election officials quietly yanked a series of AI-generated social media ads this week after voters spotted glaring visual flubs, including extra fingers, a mangled Maryland flag, and even a child with three hands, in graphics that were supposed to help recruit election judges. The swift deletions highlighted how fast generative tools can churn out eye-catching mistakes that end up chipping away at trust in official channels.
Images Looked Like AI, Voters Say
According to WBAL‑TV, Baltimore County posts featured a Maryland flag with the wrong pattern, a man whose torso seemed to sprout a stray thumbs-up, and a woman with six fingers. Baltimore City also took down a separate post after its internal peer-review rule was skipped, and one image went live showing a child with extra hands. Residents who spoke to the station said the ads clearly looked computer-made. "It's obviously AI. It looks, you know, not revised," one resident told WBAL, and county staff removed the content once the errors were flagged.
Missteps Add To Local AI Drama And State Scrutiny
The episode lands on top of other AI flare-ups in the city and growing state concern about synthetic media. In April, the city's inspector general apologized after sharing an AI-generated image of Mayor Brandon Scott that drew criticism, according to The Baltimore Banner. At the same time, lawmakers in Annapolis have advanced legislation targeting deepfakes and election misinformation, with the bill text posted by the Maryland General Assembly.
Officials Promise Fixes As Experts Urge More Guardrails
Baltimore County told WBAL it had removed the ads and guarantees this will not happen again, while Baltimore City said its deletions were necessary because required protocols were not followed, the station reported. Election experts warn that even well-intentioned recruitment art can nibble away at public confidence when the errors are this obvious. The Brennan Center has urged election offices to put stronger checks in place, including verification steps, peer review, and rapid-response plans to deal with AI-driven content problems.
