Table 1. Drivers of attitudes about uses of AI.

	(1) Facial Recognition Software	(2) General Monitoring	(3) State Jobs	(4) Prison Sentences	(5) Transplant List	(6) Natural Disaster Impact Planning	(7) Responding To 911 Calls	(8) Military Surveillance	(9) Use of Military Force
Female	✘	✘	✘	✘	✘	✔	✔	✘	✔
Age	✔	✘	✘	✔	✔	✘	✔	✔	✘
White	✘	✘	✘	✘	✘	✘	✘	✘	✘
Education: 1 = No HS, 7 = Grad Degree	✘	✘	✘	✔	✘	✘	✘	✘	✘
Party ID: 1 = Dem, 2 = Ind, 3 = GOP	✔	✘	✘	✘	✔	✘	✔	✘	✔
Pre-COVID Rideshare App Usage	✘	✘	✘	✘	✘	✘	✘	✘	✘
Self-Reported AI Use	✘	✘	✔	✘	✔	✔	✔	✔	✘
Support Info Gathering Over Privacy	✔	✔	✔	✔	✔	✘	✔	✔	✔
Concern about Algorithmic Bias	✔	✔	✔	✔	✔	✔	✔	✔	✔
Urban Population	✘	✘	✘	✘	✘	✘	✘	✘	✘
College Educated Population	✘	✘	✘	✘	✔	✔	✘	✘	✘
Unemployment Rate	✘	✘	✘	✘	✔	✘	✘	✘	✘
Observations	445	438	419	420	407	439	437	430	419

Checkmark denotes significant at the p < 0.10 level or above. The full regression table is in S1 Table in S1 File.