Configure the ethics and safety policies your organization stands behind and deploy the tools to ensure 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 red teaming of LLMs to find vulnerabilities (GPT-4, ChatGPT, Bard, 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 offer safe and inclusive AI systems that respect a diverse set of values and ethical principles.
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As AI capabilities grow, so do the risks associated with its development and deployment. While addressing issues such as bias and toxicity in AI is important, people also want AI that reflects their specific values and objectives. Preamble's platform offers tools for defining what matters to individuals and businesses when it comes to AI, allowing them to create AI policies that reflect their unique needs and values.
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.