Published • loading... • Updated
Michigan Woman Who Posted AI Photo of ‘Lake America’ Sweatshirts ‘No Longer’ CEO
Jason Acosta is now interim CEO after Jane Smith’s departure, and the credit union apologized for the AI-generated Facebook post that drew backlash.
- Jane Smith, the CEO of Family First Credit Union in Saginaw, is no longer employed with the company effective immediately, the organization announced on Wednesday.
- The departure follows a viral AI-generated Facebook photo of Smith and her family wearing "Lake America" sweatshirts, a post she said was intended as a joke about President Donald Trump's executive order renaming Lake Ontario.
- After the image spread online without an AI marker, it drew backlash from Canadians, prompting the credit union to issue an apology for the "pain this situation has caused our members and community."
- Chief Operations Officer Jason Acosta is now serving as Interim CEO, according to a joint statement from Chairman Maurice Patterson and Acosta, who stated the organization "unequivocally disapproves and rejects the content" of the post.
- Trump's August 27 order renaming Lake Ontario sparked significant backlash, including from Prime Minister Mark Carney and U.S. Congressman Timothy Kennedy, who introduced legislation to block the renaming of the Great Lakes.
Insights by Ground AI
13 Articles
13 Articles
Michigan CEO who posted AI photo of family members wearing ‘Lake America’ sweatshirts loses job; she says it was just for fun, not a political message
A Michigan credit union CEO whose AI-generated photograph of her family wearing “Lake America” sweatshirts went viral during a trip to Canada is no longer
·India
Read Full Article
Credit union CEO out after posting AI photo with ‘Lake America’ sweatshirts: ‘Disappointment and pain’
The CEO of a Michigan-based credit union is no longer with the company after she posted an AI-generated image of her family wearing “Lake America” sweatshirts during a trip to Canada.
·New York, United States
Read Full Article
Coverage Details
Total News Sources13
Leaning Left4Leaning Right2Center4Last UpdatedBias Distribution40% Left, 40% Center
Bias Distribution
- 40% of the sources lean Left, 40% of the sources are Center
40% Center
L 40%
C 40%
R 20%
Factuality
To view factuality data please Upgrade to Premium
