Ryerson Project Ryerson Project

Ryerson Project Item 141

An Artificial General Intelligence should have the same rights as a human being. (Artificial General Intelligence refers to a computer system that could learn to complete any intellectual task that a human being could.)

American adults' average (mean) response was 1.57 on a scale of 0 (Disagree) to 10 (Agree). 1,275 responses have been collected (so far) from 2026-05-11 to 2026-10-06.

Descriptive Statistics

Mean1.57
Median0.00
Standard deviation2.31
N1,275
Standard error0.065

All-Time Distribution

Response 0: 699 Response 1: 135 Response 2: 118 Response 3: 78 Response 4: 51 Response 5: 101 Response 6: 31 Response 7: 27 Response 8: 15 Response 9: 6 Response 10: 14 0 1 2 3 4 5 6 7 8 9 10 0 699 Agreement (0 = maximum disagreement, 10 = maximum agreement) Count

Comparison to Other Items

Based on all-time mean agreement, this item ranks 136 out of 139 qualifying items and is at the 2.2 percentile.

Qualifying items have 100 or more total observations. Higher means indicate more agreement and therefore a higher rank.

Monthly Trend

0 1 2 3 4 5 6 7 8 9 10 0% 50% 100% 0 5 10 2026-05 response 0: 51.2% 2026-05 response 1: 14.0% 2026-05 response 2: 8.8% 2026-05 response 3: 6.0% 2026-05 response 4: 2.8% 2026-05 response 5: 7.2% 2026-05 response 6: 2.8% 2026-05 response 7: 3.2% 2026-05 response 8: 0.8% 2026-05 response 9: 0.8% 2026-05 response 10: 2.4% 2026-06 response 0: 53.0% 2026-06 response 1: 11.0% 2026-06 response 2: 8.8% 2026-06 response 3: 6.8% 2026-06 response 4: 5.1% 2026-06 response 5: 7.4% 2026-06 response 6: 2.0% 2026-06 response 7: 2.8% 2026-06 response 8: 1.4% 2026-06 response 9: 0.6% 2026-06 response 10: 1.1% 2026-07 response 0: 56.9% 2026-07 response 1: 11.0% 2026-07 response 2: 9.7% 2026-07 response 3: 5.4% 2026-07 response 4: 3.7% 2026-07 response 5: 8.0% 2026-07 response 6: 1.3% 2026-07 response 7: 1.3% 2026-07 response 8: 2.0% 2026-07 response 9: 0.3% 2026-07 response 10: 0.3% 2026-08 response 0: 56.6% 2026-08 response 1: 6.9% 2026-08 response 2: 12.0% 2026-08 response 3: 5.7% 2026-08 response 4: 4.6% 2026-08 response 5: 9.1% 2026-08 response 6: 1.7% 2026-08 response 7: 1.7% 2026-08 response 8: 1.1% 2026-08 response 9: 0.0% 2026-08 response 10: 0.6% 2026-09 response 0: 58.9% 2026-09 response 1: 7.0% 2026-09 response 2: 6.3% 2026-09 response 3: 6.3% 2026-09 response 4: 3.8% 2026-09 response 5: 10.1% 2026-09 response 6: 5.1% 2026-09 response 7: 0.6% 2026-09 response 8: 0.0% 2026-09 response 9: 0.6% 2026-09 response 10: 1.3% 2026-10 response 0: 55.0% 2026-10 response 1: 12.5% 2026-10 response 2: 12.5% 2026-10 response 3: 7.5% 2026-10 response 4: 2.5% 2026-10 response 5: 2.5% 2026-10 response 6: 5.0% 2026-10 response 7: 2.5% 2026-10 response 8: 0.0% 2026-10 response 9: 0.0% 2026-10 response 10: 0.0% May 2026 Jun 2026 Jul 2026 Aug 2026 Sep 2026 Oct 2026 Observation month Percent of responses Monthly mean

Observed Trend

Observations suggest unchanging agreement over the observed period, from 2026-05-11 to 2026-10-06. The estimated change over that period is -0.318 points on a 0 to 10 scale. Regression results place a 95% confidence interval around that observed-period change of [-0.769, 0.134].
Regression table

The daily slope annualized over 365.25 days is -0.784 points per year, with a 95% confidence interval of [-1.899, 0.330]. This short-window annualized number is provided for reference, but the observed-period change above is the primary trend estimate.

Call:
lm(formula = response_value ~ days_since_start, data = model_data)

Residuals:
   Min     1Q Median     3Q    Max 
-1.702 -1.588 -1.418  1.317  8.575 

Coefficients:
                  Estimate Std. Error t value Pr(>|t|)    
(Intercept)       1.701662   0.114589  14.850   <2e-16 ***
days_since_start -0.002148   0.001555  -1.381    0.168    
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 2.308 on 1273 degrees of freedom
Multiple R-squared:  0.001496,	Adjusted R-squared:  0.0007115 
F-statistic: 1.907 on 1 and 1273 DF,  p-value: 0.1675