Datasheets for Machine Learning Sensors: Towards Transparency, Auditability, and Responsibility for Intelligent Sensing

arXiv:2306.08848v3 Announce Type: replace
Abstract: Machine learning (ML) sensors are enabling intelligence at the edge by empowering end-users with greater control over their data. ML sensors offer a new paradigm for sensing that moves the processing and analysis to the device itself rather than relying on the cloud, bringing benefits like lower latency and greater data privacy. The rise of these intelligent edge devices, while revolutionizing areas like the internet of things (IoT) and healthcare, also throws open critical questions …

abstract analysis and analysis arxiv control cs.cy cs.hc cs.lg data edge enabling intelligence intelligent machine machine learning new paradigm paradigm processing responsibility sensing sensors the edge transparency type