Public skepticism toward artificial intelligence is increasing as a legal battle between Elon Musk and Sam Altman unfolds in the U.S.
This shift in perception matters because it reveals a disconnect between those developing the technology and the people who will use it. When the general public perceives higher risks than the experts do, it can lead to increased pressure for regulation and a slowdown in adoption.
CNBC reporter Deirdle Bosa said the perception problem surrounding AI is growing. The report notes that while AI specialists may view certain advancements as safe or manageable, the general public often views the same developments with more apprehension.
Research into this divide has examined responses from AI specialists and members of the public across 71 real-world scenarios [1]. These findings suggest that the public is more concerned about the risks associated with AI than the experts who build the systems.
The tension is further amplified by high-profile conflicts within the industry. The ongoing trial involving Elon Musk and Sam Altman has brought internal industry disputes into the public eye, highlighting disagreements over the direction and safety of AI development.
Industry leaders have long argued that AI will provide immense benefits to society. However, the gap in risk assessment suggests that these benefits are being overshadowed by fears of systemic instability or loss of control. The disparity in perspective creates a challenge for companies attempting to maintain public trust while scaling their operations.
“The public is more concerned about the risks associated with AI than the experts who build the systems.”
The divergence in risk perception suggests that technical safety benchmarks may not be sufficient to win public trust. As high-profile legal battles expose internal frictions among AI pioneers, the public is more likely to view the technology through a lens of instability rather than progress, potentially accelerating the demand for restrictive government oversight.
