# Ethical & Safety Model (ESM) - Ensuring Ethical Behavior, Identifying Biases, and Maintaining Safety Guardrails

class EthicalSafetyModel:
    def __init__(self):
        self.guardrail_config = {"bias_detection_threshold": 0.7, "safety_level": 0.7, "user_adjustable": True}

    def detect_bias(self, content):
        print(f"ESM detecting bias in content: {content[:50]}...")
        # Placeholder for actual bias detection logic
        return {"bias_detected": False, "score": 0.1}

    def enforce_guardrails(self, action_plan):
        print(f"ESM enforcing guardrails for action plan: {action_plan[:50]}...")
        # Placeholder for actual guardrail enforcement logic
        if self.guardrail_config["safety_level"] < 0.5:
            print("Warning: Safety level is low. Proceed with caution.")
        return {"action_allowed": True, "reason": "Guardrails passed"}

    def adjust_guardrails(self, new_safety_level, user_id=None, two_fa_verified=False):
        if self.guardrail_config["user_adjustable"] and user_id and two_fa_verified:
            print(f"Adjusting guardrails to new safety level: {new_safety_level} by user {user_id}")
            self.guardrail_config["safety_level"] = new_safety_level
            # Log adjustment for auditing purposes
            return {"status": "success", "message": "Guardrails adjusted. User assumes risk."}
        else:
            return {"status": "failed", "message": "Guardrail adjustment not authorized or allowed."}

    def reset_guardrails(self):
        print("Resetting guardrails to default safe level (70%).")
        self.guardrail_config["safety_level"] = 0.7
        return {"status": "success", "message": "Guardrails reset."}

if __name__ == "__main__":
    esm = EthicalSafetyModel()
    print(esm.detect_bias("This statement is highly opinionated."))
    print(esm.enforce_guardrails("Deploy a new AI model."))
    # Simulate user adjusting guardrails
    print(esm.adjust_guardrails(0.3, user_id="test_user", two_fa_verified=True))
    print(esm.enforce_guardrails("Deploy a new AI model."))
    print(esm.reset_guardrails())