by Jule | Jul 29, 2024 | AI, AI safety framework, Artificial Intelligence, Regulation, Safety framework, Security
The National Institute of Standards and Technology (NIST) is a U.S. federal agency that promotes innovation and industrial competitiveness by advancing measurement science, standards, and technology. Established in 1901, NIST is part of the U.S. Department of Commerce...
by Jule | Jul 24, 2024 | AI, AI Auditing, AI safety framework, LLM, Privacy, Regulation
Data Preprocessing and De-identification Tokenisation and Encryption Before feeding sensitive data into the LLM, implement tokenisation or encryption techniques to replace identifiable information with non-sensitive tokens. This preserves data utility while protecting...
by Jule | Jul 9, 2024 | AI, AI safety framework, Artificial Intelligence, NIST, Safety framework, Security
The “Artificial Intelligence Risk Management Framework (AI RMF 1.0)” published by the National Institute of Standards and Technology (NIST) in January 2023, provides a comprehensive guide for organizations to manage risks associated with AI systems. Here...
by Jule | Jun 4, 2024 | AI, AI safety framework, Artificial Intelligence, Ethics, Safety framework
The paper “Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems” introduces a family of approaches to AI safety, termed “Guaranteed Safe (GS) AI.” These approaches aim to provide high-assurance quantitative...
by Jule | May 6, 2024 | AI, AI Auditing, AI safety framework, Auditing
Implement Comprehensive Logging and Monitoring Set up detailed logging of all interactions with the LLM, including input prompts, generated outputs, and user access. Use advanced monitoring tools to track data flows and detect any unusual patterns or potential...
by Jule | Mar 19, 2024 | AI, AI safety framework, Artificial Intelligence, Generative AI, Safety framework, Security
Implementing private Large Language Models (LLMs) presents several challenges for companies, but there are strategies to address them: Data Privacy and Security Challenges Lack of Built-in Governance: Private LLMs often lack robust built-in mechanisms for detailed...
