AI has intertwined itself in every part of our lives, from using ChatGPT to having state-of-the-art smart homes.
But now, this cutting-edge technology has come to use in another way, as it’s recreated what the ‘typical’ cheater looks like, allowing you to be on red alert.
The research, a combination of a survey and AI, was conducted by online casino MrQ and involved 2,000 Brits.
MrQ’s Senior Marketing Executive, Rosie Maskell, said: “Between our survey and AI, we’ve shed light on the physical traits associated with those prone to cheating.”
She added: “Obviously, it’s important to note these are based on statistical analysis and won’t apply to all individuals.
“People’s behavior is defined by their decisions and actions, not what they look like.”
First of all, the study found that men are significantly more likely to cheat than women, with 35% of men admitting to having cheated at least once before, compared to 24% of women.
This backs up official government divorce stats, which show that in the past five years, women are 33% more likely to file for divorce due to adultery than men.
It also found that women are more likely to stick with their partner after learning they’ve strayed, as more than a fifth (22%) stayed with their disloyal partner for at least another two years, while just one in 10 men (13%) did the same.
Two-fifths of people who’d been cheated on split up straight away, while 39% stuck around for a year before parting ways.
Astonishingly, one in 50 people (2%) who had discovered their partner had cheated went on to marry them.
Cheating doesn’t slow down for those who are middle-aged either, as people aged 45 to 54 are among the most likely to have cheated at least once. Over one in three admitted to betraying their partner (35%).
The survey also found that infidelity peaked at 22% in autumn, with more Brits keeping someone else warm as the chilly months begin.
The research also involved AI generating the ‘typical’ cheater’s face.
It revealed a bald man in his forties with a large nose and frown lines. The study found that follicly challenged men had wronged their partners more than others.
The AI bot shows a man who fits this look – he has little to no hair, blue-grey eyes, short facial and neck hair, and small lips.
In contrast, the ‘typical’ woman who cheats is said to be dark-haired, in her early fifties, with a small nose and a medium-sized pout.
A common physical attribute across both men and women is a slim build and ‘staring eyes.’
