Search engines have an AI infestation, and consumers aren’t happy about it. After having artificial intelligence shoved down their throats by Google and other major search engines, many people are voicing concerns about the potential downsides. To get a more complete picture of what people are worried about, we conducted a nationally-representative online survey. You can find some highlights below, followed by the full results in the infographic.
Key Stats
- Fair Pay for Creators: 62% of people think it should be illegal for AI companies to use people’s work without compensating them.
- Holding AI Companies Responsible: 2 in 3 Americans think AI companies should be sued for giving inaccurate answers.
- Trust Real Expertise: Nearly 4 in 5 Americans say they trust human experts more than AI.
- Concern Over AI Manipulation: 83% of people are concerned they will get manipulated if search results get replaced by answers from an AI.
- Skeptical of AI Advice: Nearly 3 in 5 people say they’re not comfortable taking financial or medical advice from AI.
- Demand For Clear Disclosures: Nearly 9 in 10 Americans think all AI content should have a prominent disclosure.
Full Survey & Responses
Should it be legal for AI companies to use people’s work without compensating them? | |
---|---|
No | 62% |
Yes | 38% |
Which do you trust more? | |
Human experts | 78% |
AI | 22% |
If search results get replaced by answers from an AI, are you concerned you will get manipulated? | |
Yes | 83% |
No | 17% |
Do you support an open web? | |
Yes | 67% |
No | 33% |
Should all AI content have a prominent disclosure? | |
Yes | 89% |
No | 11% |
Is Google evil? | |
No | 76% |
Yes | 24% |
Are you comfortable taking financial and medical advice from AI? | |
No | 59% |
Yes | 41% |
Do you want all content to be created by an AI? | |
No | 84% |
Yes | 16% |
Should AI companies be sued for giving inaccurate answers? | |
Yes | 66% |
No | 34% |
Note: Percentages may not total 100% due to rounding.
Survey Methodology
This report reflects the results of a nationally representative online survey of 200 respondents.
After we collected all responses, we normalized the data by age, gender and income so the sample would reflect U.S. demographics.
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