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Who’re they fooling? 12 celebrity apologies in 2023 that may have been generated by AI, according to study that looked at public statement from Joe Rogan, Mila Kunis and Ashton Kutcher and Elon Musk

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John Furner
John Furnerhttps://dailyobserver.uk
Experienced multimedia journalist with a background in investigative reporting. Expert in interviewing, reporting, fact-checking, and working on a deadline. Excel at cinematic storytelling and sourcing images, sound bites, and video for multimedia publication. Work well with photographers and videographers when not shooting his own stories, and love to collaborate on large, in-depth features.

The Daily Observer London Desk: Reporter- John Furner

Celebrities are often ‘forced’ to make public apologies when their words and actions fall flat among fans, which are typically drawn up by frantic public relations teams.

But some A-listers appear to be using a new technique to issue generic and safe ways to say sorry – artificial intelligence.

‘ for her viral tantrum on TikTok, was also included in the study, topping the list with a 72 percent chance that her apology was AI-generated.

The Hollywood couple came under fire in September after writing letters to the judge in the case of convicted rapist Danny Masterson

The study deployed four AI-detection tools to uncover possible evidence of hastily crafted, insincere apologies penned by an AI chatbot: ChatGPTZero, Undetectable.ai, Copyleaks and Sapling.

Tech research website EarthWeb.com selected candidates based on apology view counts, likes, shares and comments.

The team collected apologies from posts and videos and transcribed the content, which was scanned through the four systems and then analyzed for the likelihood of AI generation.

Overall percentages were then calculated, finding averages of each percentage found on different AI detector tools for that celebrity.

Tiffany Gomas – 72% chance of AI help

Viral TikTok sensation Tiffany Gomas, whose unhinged reaction to another airline passenger spanned the internet, scored a combined 72 percent likelihood that AI-generated her video-taped Instagram apology.

The transcribed text of the content was found to be 99 percent likely AI on Sapling and 45 percent likely AI on ChatGPTZero.

Erica Mena – 69% chance of AI help

The 35-year-old Love & Hip-Hop Atlanta star — who was fired from the show following a racist slur she made against her co-star Spice — apologized for her comments via an official statement to TMZ in September.

‘I deeply regret my insensitive comment and want to humbly apologize to anybody I hurt or offended by my thoughtlessness,’ the model said.

I am committed to listening to the voices of those affected and will work toward making amends,’ she continued.

‘As a woman of color and the mother of two black children, I want to make it clear that my use of that word was not in any way racially driven.

The research from EarthWeb claims the likelihood AI generated the apology is 69 percent.

The top 12 celebrity apologies of 2023 that AI most likely wrote
Rank Celebrity Industry / Known for ChatGPTZero Undetectable.ai Copyleaks Sapling Likelihood apology is AI-generated
1 Tiffany Gomas Crazy Plane lady’ from viral TikTok video 45% 0% 0% 99% 72%
2 Erica Mena Love & Hip Hop Star 37% AI content detected AI content detected 100% 69%
3 Cassidy McGill Reality TV Star, Love Island Australia 26% AI content detected 0% 98.90% 62%
4 Joe Rogan Podcast Host 5% 0% AI content detected 99.90% 52%
5 Doja Cat Music n/a 0% AI content detected 100% 50%
6 Lunden and Olivia Stallings TikTok Stars 0% AI content detected 0% 97.70% 33%
7 Ming Tsai Celebrity Chef 30% 0% 0% 100% 32%
8 Matty Healy Music, The 1975 0% 0% 0% 100% 25%
9 Whoopi Goldberg Actress 0% 0% 0% 100% 25%
10 Mila Kunis and Ashton Kutcher Actor/Actress 0% 0% 0% 99.70% 24%
11 Elon Musk Tech 0% 0% 0% 92% 23%
12 Irina Solomonova Reality TV Star, Love is Blind 0% 0% 0.00% 91.10% 22%
Source: tech research website, EarthWeb.com
John Furner
John Furnerhttps://dailyobserver.uk
Experienced multimedia journalist with a background in investigative reporting. Expert in interviewing, reporting, fact-checking, and working on a deadline. Excel at cinematic storytelling and sourcing images, sound bites, and video for multimedia publication. Work well with photographers and videographers when not shooting his own stories, and love to collaborate on large, in-depth features.

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John Furner
John Furnerhttps://dailyobserver.uk
Experienced multimedia journalist with a background in investigative reporting. Expert in interviewing, reporting, fact-checking, and working on a deadline. Excel at cinematic storytelling and sourcing images, sound bites, and video for multimedia publication. Work well with photographers and videographers when not shooting his own stories, and love to collaborate on large, in-depth features.