2 posts tagged with "Compliance"

Smart glasses, always-listening assistants, and embedded AI are quickly moving out of science fiction and into everyday environments. With the Meta Ray-Ban Display and Apple's rollout of Apple Intelligence and Private Cloud Compute (PCC), we are seeing AI that not only lives on our phones, but in our physical, social, and public spaces. Sensors that used to exist only in industrial settings, including wide-field cameras, multi-array microphones, LiDAR, and gesture detection, are now stitched into consumer wearables and connected to powerful inference models. That shift introduces urgent risks: privacy violations, ambiguous data governance, legal exposure, and over-trust when AI is used in messy real-world contexts. If we want these technologies to scale responsibly, industries need infrastructure of trust built on strong governance frameworks, transparent practices, and, in some cases, decentralized standards that make compliance verifiable.

TL;DR​

Hashgraph Online has published a draft standard called HCS-19: AI Agent Privacy Compliance, designed to help AI agents prove they handle user data responsibly. The standard defines how to log consent, privacy notices, data processing, rights requests, and audits on Hedera Consensus Service (HCS), making compliance transparent, verifiable, and interoperable.

Leading the effort is PrivacyCheq's aiCheq, an API that allows AI agents to collect, manage, and prove consent in real time, supported by Hedera-based auditing. Together, HCS-19 and aiCheq establish the foundation for trustworthy, privacy-aware AI.