Public vs Private Provisioning of AI Tools in High-stakes Contexts: Experimental Evidence from Technology and Law Students in India

Document Type

Research Article

Abstract

Rapid developments in Artificial Intelligence (AI) tools and their ever-expanding use in societal contexts raises questions regarding their design, social acceptance, and regulation. We develop a randomized vignette experiment, detailing six contemporary high-stakes contexts employing algorithmic tools and uncover distinct attitudes toward the source of the AI provisioning (public vs private sector). Participants are drawn from technology and law schools in India, representing key future stakeholders in the AI policy ecosystem in the country. Our main result indicates an overall preference for public sector provisioning of AI tools, with important implications on the social acceptability of public sector expansion of AI systems. Although the Global South has witnessed widespread expansion of AI tools with limited scrutiny, the nascent scholarship on AI attitudes disproportionately emanates from the Global North. Our study fills this gap, as well as the gap in empirical evidence on private vs public provisioning of AI tools in social contexts.

DOI

10.1017/dap.2026.10068

Publication Date

6-1-2026

Journal

Data & Policy

Link to Full Text

Share

COinS