AI Research Summary
Before Human ReviewBased on abstract · Full text not reviewed
According to the abstract, this article examines, against the backdrop of the smart city’s “Fully Sensorized Society (FSS),” the structural deterrence of unauthorized AI outputs and whether such reliability leads to social acceptance. The authors argue that VRAIO makes output distortion verifiable and attributable through rules, independent recorders, tamper-proof records, audits, and sanctions. However, the recorder checks only the consistency of declared metadata, not the output content itself. They also suggest that, in practice, acceptance, experiences of convenience, or chilling effects may be intermingled, so the issue should be empirically tested with a phased and reversible evaluation framework. This is an abstract-based summary; the full text was not reviewed.
Key Points from the Abstract
- VRAIO is proposed as a mechanism to deter unauthorized external AI outputs.
- The recorder checks only metadata-rule consistency, not content.
- Social acceptance should be evaluated empirically in a phased and reversible manner.
Relevance to AI Law and Policy
It is useful for thinking about accountability in AI outputs, the acceptability of surveillance societies, and smart-city governance design.
Limitations to Consider
- The effectiveness of the proposal cannot be confirmed from the abstract alone.
- No empirical results or data are provided.
- The conditional mechanism of social acceptance is only outlined in the abstract.
Please compare with the original text before citing or using it in your assessment.
Abstract Preview
Advances in sensing, the Internet of Things (IoT), and artificial intelligence (AI) are moving smart…Read more in the abstract and original text Research Topic
Original text and source
Governing AI Outputs in a Fully Sensed Society: Is Output Governance Sufficient for Social Acceptance?
The Korean title on this page was translated by AI.- Database
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