Research Note
AI Smart Home Permission Boundary Framework
Model household access across people, roles, devices, data, actions, locations, time windows, consequences, confirmation, logging, expiry, recovery, and manual control.
AI Smart Home Permission Boundary Framework
Model household access across people, roles, devices, data, actions, locations, time windows, consequences, confirmation, logging, expiry, recovery, and manual control.
Read-only status checks should not inherit permission to unlock, heat, dispense, purchase, record, disable, or delete. High-consequence actions need stronger identity, narrow scope, explicit confirmation, visible feedback, and a tested reversal or safe fallback.
The framework extends NIST consumer-IoT outcomes with an assistant authorization layer. It does not certify a device, integration, household, or security posture.
Sources
Follow the evidence.
- Introducing Llama 3.1ai.meta.com
- tensorflow.org: recommendation systemstensorflow.org
- ai.meta.com: the llama 3 herd of modelsai.meta.com
- csrc.nist.gov: finalcsrc.nist.gov
- tensorflow.org: Retrievaltensorflow.org
- NIST AI Risk Management Frameworknist.gov
- github.com: MODEL CARDgithub.com
- open.spotify.com: 5xmE0hYheRvBOoqaQCyUokopen.spotify.com
- NIST AI Resource Centerairc.nist.gov
- Meta Llama models repositorygithub.com
- nist.gov: 7 tips keep your smart home safer and more private nist cybersecuritynist.gov
- youtu.be: J2I1fJW1sB4youtu.be
- etsi.org: 2457 etsi releases new guidelines to enhance cyber security for consumer iot devicesetsi.org
- github.com: USE POLICYgithub.com
- elastic.co: search rank evalelastic.co
- daltonanderson.ghost.io: metas ai power play llama 3 smart reel searchdaltonanderson.ghost.io
- tensorflow.org: basic retrievaltensorflow.org
- github.com: LICENSEgithub.com