A robotic society? Long-term AI interaction could nudge people to become more algorithm-like
Published on August 31 at 15:33
What happens when humans spend a lot of time talking to artificial intelligence? A theoretical study released on August 31 suggests that habitual use of AI may gradually reshape human behavior, making it more "robotic." The authors—researchers from the University of Birmingham and Linnaeus University—call this phenomenon "robotoid humanness." Their argument describes a two-way process: AI systems become more anthropomorphic while people start mirroring the patterns that algorithms reward.
The hypothesis holds that repeated AI interaction could flatten individuality, reduce unpredictability, and make people less likely to offer offbeat responses. Today's AI chatbots can already hold fluid conversations, recall earlier context, and adapt their replies to each user.
"Social robots designed for customer service are built to mimic gestures, speech, and emotional cues."
Inchi Toral-Manson, marketing researcher at the University of Birmingham
Linnaeus University researcher Selcen Ozturkcan put it this way: "The user acts, the robot responds, and as this loop repeats, the person eventually adopts that interaction model." The researchers emphasize that their work is not evidence that such an effect exists. The study is conceptual, and its claims have not been tested experimentally.
They are asking other scientists to run those experiments and measure how much AI conversations might actually change human behavior. As digital technologies keep evolving, understanding these effects matters not only for individuals but for society as a whole. Artificial intelligence has become woven into work, education, and daily communication, so any impact it has on how people think and act deserves close attention.
The research highlights the importance of examining human-technology interaction at a time when AI plays an expanding role in everyday life. The term "robotoid humanness" could give future studies a shared framework, and figuring out how people adapt to AI might reveal ethical and social consequences. Experimental follow-up may help clarify the real-world impact of these technologies and the broader changes they could bring.
As the implications of AI integration become more apparent, it's essential to consider how societal acceptance of these technologies may evolve. For instance, the gradual mainstreaming of AI is not occurring as quickly as expected, highlighting the complexities of human interaction with artificial intelligence and its potential impact on our behavior.