Table 2. Attributes and public preferences on ai-enabled technologies.

	No Controls		With Controls
	Support	Trust	Support	Trust
(Intercept)	3.265***	3.096***	3.392***	3.201***
	(0.063)	(0.064)	(0.132)	(0.133)
Armed drones	0.052	0.037	0.054	0.039
	(0.055)	(0.054)	(0.054)	(0.053)
General surgery	0.067	0.079	0.080	0.093+
	(0.053)	(0.054)	(0.051)	(0.052)
Police surveillance	0.150**	0.113*	0.155**	0.117*
	(0.055)	(0.054)	(0.054)	(0.053)
Social media content moderation	-0.002	0.019	-0.011	0.012
	(0.055)	(0.054)	(0.053)	(0.052)
Full autonomy and no human oversight	-0.128**	-0.114**	-0.132**	-0.117**
	(0.043)	(0.042)	(0.042)	(0.042)
Mixed autonomy (human-in-the-loop)	0.021	0.027	0.024	0.031
	(0.041)	(0.041)	(0.040)	(0.040)
Maximum precision (correct 99% of the time with 1% false positives)	0.386***	0.366***	0.394***	0.374***
	(0.041)	(0.042)	(0.040)	(0.041)
Substantial precision (correct 90% of the time with 10% false positives)	0.122**	0.086*	0.108**	0.074+
	(0.040)	(0.040)	(0.039)	(0.039)
Private industry	0.016	0.002	0.015	0.001
	(0.039)	(0.040)	(0.038)	(0.039)
Public government agencies	0.038	-0.004	0.039	-0.004
	(0.041)	(0.041)	(0.041)	(0.041)
Male			0.188**	0.213***
			(0.057)	(0.057)
Conservatism			-0.041*	-0.037*
			(0.018)	(0.019)
Income			0.040+	0.027
			(0.022)	(0.022)
Education			0.069**	0.067**
			(0.023)	(0.023)
White			-0.094	-0.074
			(0.062)	(0.065)
Age			-0.008***	-0.008***
			(0.002)	(0.002)
Num.Obs.	5040	5040	5040	5040
R2	0.024	0.021	0.071	0.062
R2 Adj.	0.022	0.019	0.068	0.059
RMSE	1.16	1.16	1.13	1.14
Std.Errors	by: id	by: id	by: id	by: id

+ p < 0.1

* p < 0.05

** p < 0.01

*** p < 0.001

Caption: Conjoint average marginal component effects (AMCE) per attribute level. We use cars, human only autonomy, 85% precision, and community and individual regulations as referents for domain, autonomy, precision, and regulator respectively. The dependent variable is a 5-point Likert scale.