AI Safety Framework for Consumer Electronics

This document is a guide that outlines the AI Safety Framework developed for consumer electronics (CE) integrating on-device AI. It emphasizes the importance of safety in protecting user privacy, ensuring the reliability of AI systems, and mitigating risks from malicious attacks. The framework is structured around two key processes: Data & Model Governance and AI Safety Evaluation & Red Teaming, which are essential for maintaining fairness, transparency, and accountability. The Data & Model Governance process involves evaluating data quality, monitoring data acquisition, and utilizing data and model cards for risk identification. The AI Safety Evaluation & Red Teaming process includes safety assessments of AI models, employing public safety benchmarks, and simulating security threats to enhance model defenses. The document also details the operational aspects of the framework, including the establishment of an operational team to oversee the execution of safety processes and ensure compliance with relevant laws and regulations.