enamSelfinterBan
enamSelfinterBan is a theoretical concept in computer science and artificial intelligence, exploring the potential for a system to impose limitations on its own operations. The core idea revolves around a self-aware or self-modifying agent that can enact rules or restrictions upon itself to prevent certain undesirable outcomes. This concept often arises in discussions about advanced AI safety, where mechanisms are needed to ensure an AI's behavior remains aligned with human intentions and ethical guidelines, even as its capabilities evolve.
The term itself suggests a system that can "intervene" or "ban" its own actions. This could manifest
While currently largely hypothetical, enamSelfinterBan touches upon crucial research areas like corrigibility, value alignment, and robust