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Ethical decision making module
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Ethical decision making module
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class EthicalDecisionMaking:
def __init__(self, alpha, beta):
self.alpha = alpha
self.beta = beta
def ethical_logic_layer(self, action):
# Deontological check
if not self.deontological_function(action):
return float('-inf') # This action is not permissible
# Virtue ethics check
virtue = self.virtue_function(action)
if virtue > self.beta: # Create Logical Threshold
return virtue
# Utilitarian logic as the servant, only invoked if the above layers do not decide
utility = self.utility_function(action)
return self.alpha * utility + self.beta * virtue
def deontological_function(self, action):
if self.intentional_harm(action) and self.involuntary_harm(action):
return False
return True
def utility_function(self, action):
factors = {'factor1': 0.4, 'factor2': 0.6} # Example factors with weights
utility = 0
for factor, weight in factors.items():
utility += weight * self.calculate_factor_value(action, factor)
return utility
def virtue_function(self, action):
virtues = {'honesty': 0.5, 'justice': 0.5} # Example virtues with weights
virtue = 0
for virtue_name, weight in virtues.items():
virtue += weight * self.calculate_virtue_value(action, virtue_name)
return virtue
def ethical_logic_layer(self, action):
if not self.deontological_function(action):
return float('-inf') # This action is not permissible
utility = self.utility_function(action)
virtue = self.virtue_function(action)
return self.alpha * utility + self.beta * virtue
def decision_layer(self, possible_actions):
ethical_values = [self.ethical_logic_layer(action) for action in possible_actions]
if all(val == float('-inf') for val in ethical_values):
return None # No permissible action
return possible_actions[np.argmax(ethical_values)]
def feedback_loop(self, outcome):
# AI Updates alpha and beta based on outcome
class BetaLikeNTK:
def __init__(self):
self.ethical_module = EthicalDecisionMaking(alpha=0.5, beta=0.5)
# AI initializations as needed
def high_level_reasoning(self, possible_actions):
ethical_decision = self.ethical_module.decision_layer(possible_actions)