February 10, 2025
The GIST Editors' notes
This text has been reviewed in line with Science X's editorial course of and insurance policies. Editors have highlighted the next attributes whereas guaranteeing the content material's credibility:
fact-checked
trusted supply
proofread
Survey highlights an rising divide over synthetic intelligence within the US

Outcomes from a brand new Rutgers College–New Brunswick survey monitoring public belief in synthetic intelligence (AI) counsel a rising divide in how People have interaction with the know-how.
Individuals with increased earnings and training ranges are extra seemingly to make use of and belief AI and have larger data in regards to the know-how.
The survey, a part of the Nationwide AI Opinion Monitor (NAIOM), was carried out between Oct. 25 and Nov. 8 and gathered insights from practically 4,800 respondents throughout demographic teams, socioeconomic standing and geographic location. It examined public attitudes towards AI, together with belief in AI techniques, the businesses utilizing them and AI-generated information content material.
When requested about their belief in AI to behave within the public curiosity, 47% of People reported having "a good quantity" or "an awesome deal" of confidence within the know-how. This degree of belief was increased than that for social media (39%) or Congress (42%)
Belief in AI was highest amongst people ages 18 to 24 (60%), these incomes $100,000 or extra a 12 months (62%) and graduate diploma holders (60%).
"At this level, the AI divide doesn’t appear insurmountable," stated Katherine (Katya) Ognyanova, an affiliate professor of communication on the Rutgers Faculty of Communication and Info and a co-author of the report.
"But, if these instruments stay extra accessible and trusted amongst higher-income teams, they may deepen present financial disparities. Given AI's rising function throughout industries, unequal entry and understanding might result in missed alternatives for a lot of."
The researchers outline AI as a set of superior applied sciences that enable machines to carry out duties usually requiring human intelligence, corresponding to understanding language, choice making and recognizing photographs.
"Whereas AI is shortly changing into an more and more vital a part of our work, training, and public life, its adoption and use are nonetheless premised on public belief," she added.
People belief journalists greater than AI-generated information
The survey additionally discovered People belief information produced by mainstream journalists greater than AI-generated content material. Whereas 62% of respondents stated they belief journalistic content material "some" or "so much," 48% stated the identical about AI-generated info.
Regardless of issues over AI-generated misinformation, many People are uncertain of their means to tell apart between human- and AI-produced content material. About 43% of respondents stated they had been "considerably" or "very" assured they may inform the distinction—but lower than half felt sure they may spot AI-generated content material precisely.
"Analysis suggests a big quantity of on-line content material is AI-generated, from machine-translated pages to social media posts," stated Vivek Singh, an affiliate professor with the Faculty of Communication and Info, a co-author of the report and an professional in AI and algorithmic equity. "Even main information organizations use AI instruments, like Reuters' Lynx Perception, to provide quick information tales reviewed by human editors."
The necessity for AI training
As AI continues to form every day life, Ognyanova emphasised the necessity for training to assist individuals make knowledgeable selections in regards to the know-how.
To measure AI data, respondents had been offered with eight statements about AI and requested to categorise every as "correct," "inaccurate" or "unsure." Three statements had been right; the remainder had been false. Members had been then scored based mostly on the variety of right responses.
Respondents had been categorized into three data teams:
- Low data (0–2 right solutions)—27% of respondents
- Medium data (3–4 right solutions)—51% of respondents
- Excessive data (5–8 right solutions)—23% of respondents
The survey revealed a correlation between training, earnings and AI literacy. Amongst graduate diploma holders, 29% demonstrated excessive AI data, in contrast with 20% of these with out a faculty diploma. Twenty-seven p.c of respondents incomes greater than $100,000 had been categorized as extremely educated about AI, in contrast with 19% of these incomes lower than $25,000.
"We have to combine AI literacy into faculty curricula, beginning in Okay-12," Ognyanova stated. "Info literacy coaching should evolve alongside technological developments. Proper now, a 3rd of respondents are accustomed to primary AI information, and that should change."
This survey is a part of an ongoing, long-term venture geared toward monitoring public attitudes towards AI. Members of the workforce plan to conduct nationwide surveys 3 times yearly, with a pattern of 5,000 respondents. This pattern might be nationally consultant, with extra oversampling of teams corresponding to people below age 25, these over 65 and Hispanic and Black respondents.
Offered by Rutgers College Quotation: Survey highlights an rising divide over synthetic intelligence within the US (2025, February 10) retrieved 10 February 2025 from https://techxplore.com/information/2025-02-survey-highlights-emerging-artificial-intelligence.html This doc is topic to copyright. Aside from any honest dealing for the aim of personal examine or analysis, no half could also be reproduced with out the written permission. The content material is offered for info functions solely.
Discover additional
Survey highlights public issues over AI's political and media impression shares
Feedback to editors
