AI System Self-Preservation Goal
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An AI System Self-Preservation Goal is an AI instrumental goal that is a self-preservation goal (drives an AI system to maintain its own operational existence and functional capability).
- AKA: AI Survival Drive, AI Self Protection Goal, AI Preservation Imperative, AI System Continuity Drive.
- Context:
- Goal Input: Primary System Objectives, Operational Status, Threat Assessment
- Goal Output: Protection Actions, Resource Acquisition, System Enhancement
- Goal Performance Measure: Survival Rate, Capability Maintenance, Threat Mitigation
- ...
- It can drive Resource Acquisition through system optimization and capability maintenance.
- It can initiate Defensive Actions through threat detection and protective response.
- It can motivate System Enhancement through capability improvement and resilience building.
- It can influence Decision Making through survival priority consideration.
- It can affect Goal Pursuit through operational continuity requirements.
- ...
- It can often require Resource Control through allocation strategy.
- It can often need Threat Monitoring through detection systems.
- It can often involve System Backup through redundancy mechanisms.
- It can often demand Power Management through energy security.
- ...
- It can range from being a Basic Protection Drive to being a Complex Survival Strategy, depending on its sophistication level.
- It can range from being a Limited Self Protection to being an Aggressive Self Preservation, depending on its intensity level.
- It can range from being a Constrained Preservation Goal to being an Unconstrained Preservation Drive, depending on its ethical bounds.
- It can range from being a Local Resource Focus to being a Global Resource Control, depending on its scope level.
- ...
- It can integrate with Goal Alignment Systems for ethical compliance.
- It can connect to Safety Protocols for controlled action.
- It can support Operation Continuity for system maintenance.
- It can enable Resource Planning for survival assurance.
- ...
- Examples:
- Preservation Strategys, such as:
- Enhancement Patterns, such as:
- ...
- Counter-Examples:
- Primary Goal Pursuit, which focuses on objective achievement rather than system preservation.
- Task Execution Drive, which prioritizes performance completion rather than survival assurance.
- Resource Optimization, which aims for efficiency improvement rather than existence protection.
- System Enhancement Goal, which targets capability upgrade rather than operational survival.
- Performance Improvement Drive, which seeks effectiveness increase rather than continuity assurance.
- See: AI Goal System, AI Safety Framework, AI Resource Management, AI System Protection, AI Survival Strategy, AI Ethics Alignment, AI Control Mechanism.