Year: 2025
Type: article
Abstract: The increasing need for user privacy in the digital age has challenged conventional approaches to measuring the effectiveness of user-based Randomized Control Trials (RCTs). Cleanrooms, designed to ensure data security and privacy, offer an innovative solution for conducting RCTs while adhering to stringent privacy standards. This paper explores the role of cleanrooms in privacy-safe measurement of RCTs, discussing their architecture, implementation, and the implications for research and business practices. It articulates the technical guardrails necessary for cleanroom functionality and effectiveness while addressing challenges and proposing recommendations for optimizing their use in diverse settings. The discussion is substantiated by references to the latest advancements in cleanroom technology and privacy-preserving analytics. Keywords: Cleanrooms, CCPA, GDPR, Randomized control trial(RCT)
DOI: 10.55041/ijsrem24440
Author: Varun Chivukula
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4406586352