Executive Summary

Corporations across sectors increasingly pursue AI ethics commitments, including AI principles, third-party labeling, or auditing to foster consumer trust, reduce information asymmetries, and mitigate social, ethical, and organizational risks. This project evaluates the effectiveness of these commitments on building public trust and reducing demand for state intervention. Employing survey experiments with 5,000 participants from the United States and Germany, the study examines variables like AI ethics principles, responsible AI staffing, and third-party audits to understand their influence on trust, ethicality perceptions, and regulatory preferences. Results aim to provide empirical insights into private governance's role in AI ethics.

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