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"""
This module provides explainable AI capabilities to analyze and explain decision-making processes.
"""
class ExplainableAI:
def __init__(self):
self.explanations = {}
self.decision_history = []
def explain_decision(self, response: str, query: str) -> dict:
"""
Generate an explanation for a given model response.
Args:
response: The model's response to explain
query: The original query that led to this response
Returns:
A dictionary containing the explanation details
"""
explanation = {
"query": query,
"response": response,
"reasoning": "Standard response based on query context",
"confidence": 0.8,
"factors": ["query_context", "model_parameters"],
}
self.decision_history.append(explanation)
return explanation
def get_decision_history(self):
"""
Get the history of decisions and explanations.
"""
return self.decision_history
def clear_history(self):
"""
Clear the decision history.
"""
self.decision_history = [] |