This standard defines minimum safety, quality, and compliance requirements for generative neural signals produced by artificial-intelligence systems interacting with humans or control loops. The standard addresses signal fidelity, latency, artifact limits, bias mitigation, privacy preservation, and fail-safe mechanisms within a compliant-use framework that aligns with regional medical, industrial, and data-protection regulations. The standard specifies measurement methods, validation protocols, risk-assessment criteria, documentation formats, and conformance test procedures for hardware and software components that create, transmit, or process synthetic neural data. The standard applies to consumer, medical, automotive, aerospace, and research applications where generative neural signals influence decisions, feedback, or stimulation.
- Standard Committee
- CTS/ETSC - Emerging Technology Standards Committee
- Status
- Active PAR
- PAR Approval
- 2026-02-12
Working Group Details
- Society
- IEEE Consumer Technology Society
- Standard Committee
- CTS/ETSC - Emerging Technology Standards Committee
- Working Group
-
SQR-BCI - IEEE Standard for Safety and Quality Requirements of Generative Neural Signals in Compliant Use Frameworks
- IEEE Program Manager
- Soo Kim
Contact Soo Kim - Working Group Chair
- Shuqiang Wang
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