Building Trust: Foundations of Security, Safety and Transparency in AI
Authors: name: Huzaifa Sidhpurwala, name: Garth Mollett, name: Emily Fox, name: Mark Bestavros, name: Huamin Chen

This paper explores the rapidly evolving ecosystem of publicly available AI
models, and their potential implications on the security and safety landscape.
As AI models become increasingly prevalent, understanding their potential risks
and vulnerabilities is crucial. We review the current security and safety
scenarios while highlighting challenges such as tracking issues, remediation,
and the apparent absence of AI model lifecycle and ownership processes.
Comprehensive strategies to enhance security and safety for both model
developers and end-users are proposed. This paper aims to provide some of the
foundational pieces for more standardized security, safety, and transparency in
the development and operation of AI models and the larger open ecosystems and
communities forming around them.