Cornell Launches AI Safety Initiative
In brief
- Researchers at Cornell received a gift from Amazon to develop safety protocols for artificial intelligence agents.
- These agents can build and launch software with just a few prompts.
- The goal is to prevent them from producing incorrect or malicious code that hackers can exploit.
- The project will bring together experts in machine learning, security, and verification to improve the safety of agentic AI.
- The team will create a security framework with rules and verification checks to make AI agents more cautious with their code outputs, with the ultimate goal of generating secure code that protects software applications.
Terms in this brief
- agentic AI
- Agentic AI refers to artificial intelligence systems that can act autonomously and make decisions without explicit human intervention. These systems are designed to perform tasks by understanding their environment, learning from experiences, and taking actions to achieve specific goals. The concept emphasizes autonomy, adaptability, and the ability to handle complex, dynamic situations.
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