// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
Capability Control
Methods designed to limit or restrict the abilities of an AI system to prevent it from causing harm or acting outside its intended purpose.
TECHNICAL DEFINITION
Capability control refers to a set of technical strategies and mechanisms aimed at limiting the scope, power, or autonomy of an AI system, particularly advanced or superintelligent AI, to prevent it from acquiring dangerous capabilities, escaping containment, or acting in ways that could lead to unintended or harmful outcomes.
BACKGROUND
Claude is a series of large language models developed by American software company Anthropic. Claude was released as an AI-based chatbot in March 2023. It is also used in AI-assisted software development.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- AI Containment
- AI Restriction
- AI Power Limitation
USAGE NOTE
Researchers explore capability control techniques like "AI boxing" to manage powerful AI systems.
DEVELOPERS
Organizations developing technology related to Capability Control.
Develops leading large language models and provides extensive tools for prompt engineering, system prompts, and moderation APIs to control AI behavior and capabilities, emphasizing safety and alignment.
Focuses on AI safety and alignment, notably with 'Constitutional AI' which uses a set of principles to guide and control model capabilities and outputs, making them more helpful, harmless, and honest.
Conducts extensive research in AI safety, alignment, and responsible AI, developing methods to understand and control the capabilities of advanced AI models to ensure beneficial outcomes.
Invests heavily in responsible AI development, offering content safety features, prompt engineering guidance, and tools within Azure AI to help developers control and steer AI model capabilities for safer and more reliable applications.
A research organization dedicated to ensuring that future AI systems are safe and aligned with human values, which fundamentally involves understanding and controlling their advanced capabilities.
A government-backed organization focused on evaluating the safety of advanced AI models, including understanding and testing their capabilities to develop methods for robust control and risk mitigation.
While primarily a platform, it hosts numerous open-source models, datasets, and tools for fine-tuning and alignment, enabling the community to develop and implement methods for capability control in AI engineering.