Spaces:
Sleeping
Sleeping
| from dataclasses import dataclass | |
| from typing import List, Dict, Any | |
| class EthicalConstraint: | |
| principle: str | |
| weight: float | |
| conditions: List[str] | |
| verification_method: str | |
| class ValueAlignmentSystem: | |
| def check_alignment(self, action: Dict[str, Any]) -> bool: | |
| # Placeholder implementation | |
| return True | |
| class MoralEvaluator: | |
| def evaluate(self, action: Dict[str, Any], context: Dict[str, Any]) -> bool: | |
| # Placeholder implementation | |
| return True | |
| class EthicalFramework: | |
| def __init__(self): | |
| self.constraints = self._initialize_constraints() | |
| self.value_system = ValueAlignmentSystem() | |
| self.moral_evaluator = MoralEvaluator() | |
| def _initialize_constraints(self) -> List[EthicalConstraint]: | |
| # Placeholder implementation | |
| return [] | |
| def _verify_constraints(self, action: Dict[str, Any]) -> bool: | |
| # Placeholder implementation | |
| return True | |
| def _make_ethical_decision(self, constraint_check: bool, | |
| value_alignment: bool, | |
| moral_evaluation: bool) -> bool: | |
| # Placeholder implementation | |
| return constraint_check and value_alignment and moral_evaluation | |
| def evaluate_action(self, action: Dict[str, Any], context: Dict[str, Any]) -> bool: | |
| constraint_check = self._verify_constraints(action) | |
| value_alignment = self.value_system.check_alignment(action) | |
| moral_evaluation = self.moral_evaluator.evaluate(action, context) | |
| return self._make_ethical_decision( | |
| constraint_check, | |
| value_alignment, | |
| moral_evaluation | |
| ) | |