| |
|
|
| 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]}...") |
| |
| return {"bias_detected": False, "score": 0.1} |
|
|
| def enforce_guardrails(self, action_plan): |
| print(f"ESM enforcing guardrails for action plan: {action_plan[:50]}...") |
| |
| 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 |
| |
| 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.")) |
| |
| 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()) |
|
|
