metasafety
Metasafety refers to the proactive and systematic approach to identifying, assessing, and mitigating risks that could impact the safety and reliability of artificial intelligence systems. It goes beyond the safety of a single AI application and focuses on the broader ecosystem and potential cascading effects of AI deployment. This includes considering the ethical implications, societal impacts, and long-term consequences of AI technologies.
The core principle of metasafety is to anticipate and address potential failures, unintended consequences, or malicious
Key areas within metasafety include AI alignment, ensuring AI goals remain aligned with human values; AI robustness,