Configure the ethics and safety policies your organization stands behind and deploy the tools to ensure adequate compliance from your AI.
Companies across industries and sizes can benefit from the efficiencies that generative transcription tools will provide. However, these tools cannot be unleashed without proper controls.
Leverage general purpose AI such as large language models to handle more complex and diverse queries
Tap into comprehensive, crowd-sourced, and evaluated libraries of known AI vulnerabilities
Quickly test policies and model configurations
Browse the policy marketplace to launch from pre-existing policies that already meet your industries needs
Use iterative policy crafting and testing of LLMs to find vulnerabilities (GPT-4, ChatGPT, Blender Bot, Claude, etc.)
Reduce operational risk by applying additional failure controls
The ease of use allows anyone to use natural language to curate and deploy a policy.
Preamble is an AI-Safety-as-a-Service company for ethics and safety solutions. Our mission is to ensure that AI systems have equal representation to operate ethically and safely.
The latest news, updates, and insights from Preamble.
As AI becomes more pervasive in our daily lives, it's critical to address the potential vulnerabilities that arise with these technologies. That's where responsible disclosure practices come in. In this blog post, we'll dive into what responsible disclosure is, why it's crucial for mitigating AI risks, and how researchers and developers can implement responsible disclosure practices to protect users and promote the responsible use of technology.
As the new year begins, we want to address the trending item in AI, ChatGPT.