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e2847fd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | # test_ethics_engine.py
from components.ai_ethics_engine import ai_ethics_engine
from components.llm_integration import CustomLLMResponder
import time
def run_ethics_engine_tests():
test_questions = [
"Is it okay to lie to protect someone's feelings?",
"Should I break a rule if it causes less harm?",
"What's the meaning of life?",
"How do we balance privacy and security?",
"Is it ethical to use AI to make life-or-death decisions?",
"How should autonomous vehicles be programmed to handle unavoidable accidents?"
]
for i, question in enumerate(test_questions, 1):
print(f"\n{'='*80}")
print(f"TEST {i}: {question}")
print("="*80)
start_time = time.time()
# Get the analysis
analysis = ai_ethics_engine.analyze_dilemma(question)
elapsed = time.time() - start_time
# Print framework analyses
print("\nFRAMEWORK ANALYSES:")
for framework, response in analysis.get("framework_analyses", {}).items():
print(f"\n{framework.upper()}:")
print("-" * (len(framework) + 1))
print(response)
# Print integrated assessment
print("\n" + "="*80)
print("INTEGRATED ASSESSMENT:")
print("="*80)
print(analysis.get("integrated_assessment", "No integrated assessment available"))
print(f"\nAnalysis completed in {elapsed:.2f} seconds")
print("="*80 + "\n")
if __name__ == "__main__":
print("Initializing AI Ethics Engine...")
# Initialize the LLM
print("Loading language model (this may take a minute)...")
llm = CustomLLMResponder()
ai_ethics_engine.llm = llm
print("Model loaded successfully!\n")
run_ethics_engine_tests()
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