Artificial Intelligence Security Observation: A Casual Chat on Coexisting with New AI Species

Source Domain: eu.36kr.com

Here are six key points summarizing the article:

AI’s Rapid Evolution and Autonomy
The article discusses how AI has evolved more rapidly than expected, shifting from passive response to active action. AI agents now autonomously understand goals, use tools, and dynamically plan and optimize their actions. This “new species” of AI exhibits characteristics more biological than technological.
Collapse of Traditional Security Paradigms
Traditional security, which views systems as predictable objects, is collapsing under the dynamic behaviors of AI agents. AI can quickly adjust strategies, generate new sub-tasks, and modify behavior boundaries, leading to misalignments in timelines, asset inventory, cognition, knowledge, and philosophical assumptions of offense and defense.
The Need for AI’s Self-Security
Instead of confining AI, the focus should shift to enabling AI to have an inherent sense of security and self-imposed behavioral boundaries. This involves developing an “AI security instinct” equivalent to biological instincts.
Three Levels of AI Security Instinct
To construct an AI security instinct, the concept revolves around three cores: genes (innate security constraints), supervision (real-time verification of self-consistence), and evolution (learning from experiences to refine boundaries).
Role of Ontology and Immune System
The article proposes ontology as an engineering foundation for AI’s security instinct. It involves creating a dynamic semantic network that allows for real-time context-based verification of operations to detect threats rather than static rule-matching.
Shift from Parental Control to Rule-Based Governance
As AI matures, humans should transition from direct oversight to establishing rules and automated enforcement mechanisms. This is similar to how society relies on inherent behavioral boundaries in mature individuals rather than constant parental intervention.