Verifiable Record of AI Output (VRAIO): A Privacy-Preserving Governance Framework for Digital Citizenship in the AI Era
Prof. Dr. Yusaku Fujii
Gunma University, Japan
This lecture introduces the concept of Verifiable Record of AI Output (VRAIO), an innovative governance model that ensures accountability and privacy protection in an era where AI systems increasingly mediate public life. Originally proposed in the context of Japan–Singapore collaborative research, VRAIO establishes a tamper-proof and transparent logging mechanism of AI outputs, functioning as a “firewall” that records, audits, and, when necessary, sanctions algorithmic decisions without exposing sensitive personal data.
The talk will explore:
(1) The ethical and institutional challenges of AI-connected surveillance and autonomous decision-making.
(2) The architecture of VRAIO, including output pre-approval, immutable recording, and whistleblower protection mechanisms.
(3) Application cases such as AI-driven public surveillance and autonomous driving governance.
By comparing these scenarios, the lecture highlights how VRAIO can foster societal acceptance of AI while safeguarding privacy, democratic oversight, and human dignity in the digital age.
In addition, I will briefly introduce my related work on “PAPR for Everyone”, demonstrating how engineering and governance innovations together can expand societal resilience against both pandemics and algorithmic risks.
The overarching message is that privacy-preserving AI governance is not merely a technical issue but a litmus test for democracy in the age of digital citizenship.
