Private firms have too much influence
77% agree private firms have too much influence on the field, and 86% expect industry to produce the most widely cited research. Only 41% think NLP should be regulated.
Chapter 8 of the AI Index 2023 reads public opinion through four lenses: an IPSOS survey of 19,504 adults in 28 countries, a Lloyd’s Register Foundation and Gallup poll of 125,911 people in 121 countries, a Pew Research survey of 10,260 Americans, and a questionnaire answered by 480 NLP researchers. It closes with 2.74 million social media posts from 2022. The report is candid that longitudinal data on AI opinion is scarce — these are snapshots, not trend lines. The numbers:
IPSOS interviewed 19,504 adults aged 16 to 74 across 28 countries. Aggregated, the answers look lukewarm; split by country, they look like two different planets.
Globally, 64% of respondents said they have a good understanding of what artificial intelligence is, 60% expect AI products and services to profoundly change their daily life in the next three to five years, and 60% say those products make their life easier. But only a slight majority, 52%, agree that AI products and services have more benefits than drawbacks — and 39% say they make them nervous.
Two gaps inside that one survey are worth pulling out. The first is between the future and the present: 60% expect AI to profoundly change their daily life in the next three to five years, while 49% say it already has over the past three to five. The second is between claimed knowledge and actual recognition: 64% say they understand what AI is, but only 50% say they know which types of products and services actually use it. On trust the sample splits exactly down the middle — 50% say they trust companies that use AI as much as they trust other companies.
Sentiment is strongly correlated inside each country rather than by question. Chinese respondents are among the most positive on every measure: 87% say AI products make their lives easier, 76% trust companies that use AI as much as other companies, 76% know which products use AI, and only 30% report feeling nervous. American respondents are among the most negative: 41% say AI makes life easier, 35% trust AI companies, 39% know which products use AI, and 52% feel nervous. Japan is the standing oddity — only 42% see more benefits than drawbacks, yet just 20% say AI makes them nervous, the lowest anxiety of the 28 countries. India runs the opposite way: 71% see more benefits than drawbacks and 53% feel nervous, the highest anxiety in the survey.
IPSOS also cut the same eight questions by demographic group, and a second global poll — Lloyd’s Register Foundation with Gallup, 125,911 people in 121 countries — asked a blunter version of the question. The patterns rhyme.
Men score higher than women on every positive statement in the IPSOS set: understanding what AI is (69% vs. 60%), knowing which products use it (55% vs. 46%), believing benefits outweigh drawbacks (55% vs. 49%), saying it makes life easier (62% vs. 58%), expecting it to change their life (63% vs. 57%), and trusting companies that use it (53% vs. 47%). There is exactly one statement where women score higher: AI products make me nervous, 41% against 38%.
Age splits the question in two. Respondents under 35 are the most likely to say AI products make their lives easier (64%, against 62% for 35-to-49 and 54% for 50-to-74), yet they are less likely than the 35-to-49 group to say the benefits outweigh the drawbacks (47% against 53%). Convenience and endorsement are not the same thing. Income, education, and job seniority move together and in one direction: 57% of high-income respondents see more benefits than drawbacks against 50% of low-income; 59% of the most educated against 45% of the least; and among employment groups, senior executives and decision makers top the list at 64%, business owners at 63%, the employed at 55%, and the non-employed at 47%.
In 2021 Lloyd’s Register Foundation and Gallup asked 125,911 people across 121 countries whether AI will mostly help or mostly harm people in their country over the next 20 years. 39% said mostly help against 28% who said mostly harm — and the gender gap from the IPSOS survey reappears intact: 42% of men said mostly help, against 35% of women. Regionally, Eastern Asia returns 4.4 “mostly help” answers for every “mostly harm,” Northern and Western Europe 1.8, Australia and New Zealand 1.7. Northern America and the Middle East land at exactly 1.0 — one hopeful answer for every fearful one. Eastern Africa (0.4), Southern Africa (0.6), and Northern Africa (0.7) are the most pessimistic regions in the world on this question.
The same poll asked about self-driving cars, and the answer is one of the least ambiguous numbers in the chapter: 65% would not feel safe in a self-driving car, 27% would, and 8% did not know or refused to answer. Pew found the American version of the same instinct — only 26% of Americans think driverless passenger vehicles are a good idea for society, against 44% who call them a bad idea and 29% who are not sure. It is the only one of three specific AI use cases Pew tested where “bad idea” outpolls “good idea.”
Pew Research interviewed 10,260 panelists in 2022 — one of the most comprehensive surveys to date of American views on AI. The dominant answer is not enthusiasm or fear. It is ambivalence.
45% of Americans report feeling equally concerned and excited about the increased use of AI programs in daily life. 37% are more concerned than excited. Only 18% are more excited than concerned. The largest single group in the country has not made up its mind.
Asked about six specific applications, the ordering is almost perfectly mechanical-to-personal. 57% are very or somewhat excited about AI performing household chores, against 19% concerned. Repetitive workplace tasks: 46% excited, 26% concerned. Diagnosing a medical problem: 40% excited, 35% concerned. Handling customer service calls flips the sign — 27% excited against 47% concerned. And at the far end, where the task is judging people rather than doing work, the collapse is total: making important life decisions for people draws 74% concerned against 9% excited, and knowing people’s thoughts and behaviors 75% against 9%.
Pew also asked whose experiences and views are taken into consideration when AI systems are designed. 51% said the experiences of men are well considered, against 36% for women — a 15 percentage point gap. For white adults the figure is 48%; for Asian adults 33%, Black adults 24%, and Hispanic adults 23%. Between 37% and 43% of respondents answered “not sure” on every single row, which is a finding in itself: on the question of who AI is built for, the most common American position is that nobody outside the room can tell.
From May to June 2022, 480 members of the NLP research community answered a survey on the state of the field, AGI, and ethics — 68% of them had authored at least two ACL publications between 2019 and 2022. Percentages are respondents who agreed or weakly agreed.
77% agree private firms have too much influence on the field, and 86% expect industry to produce the most widely cited research. Only 41% think NLP should be regulated.
58% say AGI is an important concern, 57% think recent progress is moving the field toward it, and 73% believe AI could soon lead to revolutionary societal change.
88% say there is too much focus on benchmarks and 72% too much focus on scale. Just 17% agree that scaling solves practically any important problem.
51% agree language models understand language; 67% say multimodal models do. Only 36% believe text-only evaluation can measure language understanding at all.
89% say NLP’s past net impact is good and 87% expect the future to be good — while 74% say ethical and scientific considerations can conflict.
67% agree most of NLP is dubious science. 30% expect an NLP winter within ten years, and 62% within thirty.
Headline findings from Chapter 8 · Public Opinion, covering 2022.
In a 2022 IPSOS survey, 78% of Chinese respondents — the highest proportion of surveyed countries — agreed that products and services using AI have more benefits than drawbacks. Only 35% of sampled Americans agreed.
In a global survey, only 27% of respondents reported feeling safe in a self-driving car. Pew suggests that only 26% of Americans feel that driverless passenger vehicles are a good idea for society.
77% of surveyed NLP researchers either agreed or weakly agreed that private AI firms have too much influence, 41% said that NLP should be regulated, and 73% felt that AI could soon lead to revolutionary societal change.
ChatGPT dominated consumer conversation with a rapid rise, making up over half of consumer conversation by the end of 2022.
There is a paucity of longitudinal survey data related to AI asking the same questions of the same groups of people over extended periods of time.
Chapter 8 (sections 8.1–8.2) with every figure, survey methodology note, and citation is free from Stanford HAI. Or head back to the report highlights and eight-chapter overview.
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8.2 — The year the conversation was captured by one product
The NetBase Quid team analyzed 2.74 million social media posts about AI models and releases from January to December 2022. Net sentiment runs from +100 (all positive) to -100 (all negative).
Which model took over the conversation?add
Was the conversation about ChatGPT positive?add
Which model did people actually like most?add
Did any model go negative?add
What else were people arguing about?add