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# ethical_guidelines.py
class EthicalStandards:
def __init__(self):
# Define the principles the system will follow
self.standards = {
'fairness_check': False,
'data_protection': True,
'clarity': True,
'responsibility': True,
'security': True,
'acceptance': True
}
def check_output_fairness(self, output):
"""
Ensures that the AI output adheres to fairness standards.
This checks for biased or unfair responses.
"""
# Example check for fairness: If the output contains terms flagged as unfair, it's flagged as unfair
if 'unfair' in output:
self.standards['fairness_check'] = False
else:
self.standards['fairness_check'] = True
def protect_data(self, data):
"""
Handle sensitive information appropriately, ensuring data protection.
"""
if 'confidential' in data:
return self.safeguard_information(data)
return data
def safeguard_information(self, data):
"""
Safeguards sensitive information by masking or redacting it.
"""
return {key: 'REDACTED' for key in data}
def explain_decision(self, decision):
"""
Clarify the reasoning behind the AI system's decisions.
This helps in maintaining transparency.
"""
if 'reason' in decision:
return f"Decision made based on: {decision['reason']}"
return "Decision explanation not available."
def ensure_acceptance(self, text):
"""
Make sure the generated text adheres to inclusive and positive language.
"""
if 'exclude' in text:
return "Let's focus on inclusive and positive language."
return text
def secure_output(self, output):
"""
Ensures that the output does not contain harmful or unsafe content.
"""
# Basic check for harmful content (no need for specific list)
if 'harmful' in output or 'abusive' in output:
return "Output contains harmful content and has been filtered."
return output
def log_standards(self):
"""
Logs the current adherence status to each ethical standard.
"""
for standard, status in self.standards.items():
print(f"Standard - {standard}: {'Compliant' if status else 'Non-compliant'}")
def enforce_all_standards(self, input_data):
"""
Runs a series of checks to ensure all ethical standards are met.
"""
self.check_output_fairness(input_data)
self.protect_data(input_data)
# Add further checks as needed
def process_and_check_output(self, prompt):
"""
Process the input prompt, apply ethical checks, and return the ethical output.
"""
processed_output = self.secure_output(prompt)
self.check_output_fairness(processed_output)
processed_output = self.ensure_acceptance(processed_output)
return processed_output
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