AI Daily by Jason Jeffrey Jones Productions
How well does Generalized Trust predict Americans' AI Support?
The current data support the following:
- Generalized Trust is a statistically significant predictor of AI Support.
- Higher Generalized Trust is associated with greater AI Support.
- Over time, AI Support increased.
- Results update daily.
- Based on responses from daily samples of American adults.
- Aggregated over the entire data.
- Data collection began: 2024-02-16.
- Most recent data collected on: 2025-03-30.
- Total Observations: 4496.
Methods, briefly
Generalized Trust question from The Moral Foundations of Trust. For more detail, please read Thinking Machines, Pondering Humans.
Randomly selected American adults were asked: Generally speaking, would you say that most people can be trusted or that you can’t be too careful in dealing with people? To respond they could choose either "Most people can be trusted." or "You can’t be too careful in dealing with people."
Respondents also indicated how much they agreed with the statement: I support further development of artificial intelligence. From 2024-02-16 forward, I have collected 4496 responses.
I have presented detailed methods in Americans' Support for AI Development - Measured Daily with Open Data and Methods. The results in this PDF research article are, of course, out-of-date as compared to this autonomous, daily-updating, social science dashboard inator you are currently viewing. Last updated on .
Do you like p-values, standard errors and such? Inspect the collapsed details below to view the regression results that support the statements above.
Yes, you may see and use the raw survey data.
Call:
lm(formula = Support ~ Month_Number * Trust, data = .)
Residuals:
Min 1Q Median 3Q Max
-4.4328 -0.8973 0.1758 1.0297 2.2489
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.7511124 0.0604757 12.420 < 2e-16 ***
Month_Number 0.0365409 0.0076960 4.748 2.12e-06 ***
TrustTrusting 0.2188549 0.0984998 2.222 0.0263 *
Month_Number:TrustTrusting -0.0009361 0.0127106 -0.074 0.9413
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 1.588 on 4492 degrees of freedom
Multiple R-squared: 0.01154, Adjusted R-squared: 0.01088
F-statistic: 17.48 on 3 and 4492 DF, p-value: 2.809e-11
This page last automatically updated on 2025-03-31.