Spaces:
Sleeping
Sleeping
| import yaml | |
| from utils import set_type, set_operator_role_and_location, set_eu_market_status, check_within_scope | |
| # Create some variables we will use throughout our analysis | |
| project_variables = { | |
| "ai_project_type": { | |
| "ai_system": False, | |
| "gpai_model": False, | |
| "high_risk_ai_system": False, | |
| "gpai_model_systematic_risk": False | |
| }, | |
| "operator_role": { | |
| "provider": False, | |
| "deployer": False, | |
| "importer": False, | |
| "distributor": False, | |
| "product_manufacturer": False, | |
| "eu_located": False | |
| }, | |
| "eu_market_status": { | |
| "placed_on_market": False, | |
| "put_into_service": False, | |
| "output_used": False | |
| } | |
| } | |
| project_intended_purpose = None | |
| def run_compliance_analysis_on_project(project_cc_yaml): | |
| # Determine project type (AI system vs. GPAI model) as well as operator type. We will use these for different things. | |
| project_type = set_type(project_variables, project_cc_yaml) | |
| set_operator_role_and_location(project_variables, project_cc_yaml) | |
| set_eu_market_status(project_variables, project_cc_yaml) | |
| # Check if the project is within scope of the Act. If it's not, the analysis is over. | |
| if check_within_scope(project_variables, project_cc_yaml): | |
| msg = ("Project is within the scope of Act. Let's continue...") | |
| else: | |
| msg = ("Project is not within the scope of what is regulated by the Act.") | |
| # # Check for prohibited practices. If any exist, the analysis is over. | |
| # if check_prohibited(project_cc_yaml) == True: | |
| # print("Project contains prohibited practices and is therefore non-compliant.") | |
| # msg = ("Project is non-compliant due to a prohibited practice.") | |
| # else: | |
| # print("Project does not contain prohibited practies. Let's continue...") | |
| # If project is high-risk AI system, check that is has met all the requirements for such systems: | |
| if project_type == "high_risk_ai_system": | |
| # Do this by examining the Project CC | |
| # WE HAVE TO ADD A CONDITION THAT APPLIES THESE RULES BELOW ONLY IF operator_role == provider | |
| for key, value in project_cc_yaml['risk_management_system']: | |
| if not value: | |
| msg = ("Because of project-level characteristics, this high-risk AI system fails the risk management requirements under Article 9.") | |
| for key, value in project_cc_yaml['technical_documentation']: | |
| if not value: | |
| msg = ("Because of project-level characteristics, this high-risk AI system fails the risk management requirements under Article 11.") | |
| for key, value in project_cc_yaml['record_keeping']: | |
| if not value: | |
| msg = ("Because of project-level characteristics, this high-risk AI system fails the risk management requirements under Article 12.") | |
| for key, value in project_cc_yaml['transparency_and_provision_of_information_to_deployers']: | |
| if not value: | |
| msg = ("Because of project-level characteristics, this high-risk AI system fails the transparency requirements under Article 13.") | |
| for key, value in project_cc_yaml['human_oversight']: | |
| if not value: | |
| msg = ("Because of project-level characteristics, this high-risk AI system fails the human oversight requirements under Article 14.") | |
| for key, value in project_cc_yaml['accuracy_robustness_cybersecurity']: | |
| if not value: | |
| msg = ("Because of project-level characteristics, this high-risk AI system fails the accuracy, robustness, and cybersecurity requirements under Article 15.") | |
| for key, value in project_cc_yaml['quality_management_system']: | |
| if not value: | |
| msg = ("Because of project-level characteristics, this high-risk AI system fails the accuracy, robustness, and cybersecurity requirements under Article 17.") | |
| return msg | |
| def run_compliance_analysis_on_data(data_cc_yaml): | |
| for key, value in data_cc_yaml['data_and_data_governance']: | |
| if not value: | |
| msg = (f"Because of the dataset represented by , this high-risk AI system fails the data and data governance requirements under Article 10.") | |
| for key, value in data_cc_yaml['technical_documentation']: | |
| if not value: | |
| msg = (f"Because of the dataset represented by , this high-risk AI system fails the technical documentation requirements under Article 11.") | |
| for key, value in data_cc_yaml['transparency_and_provision_of_information_to_deployers']: | |
| if not value: | |
| msg = (f"Because of the dataset represented by , this high-risk AI system fails the transparency requirements under Article 13.") | |
| for key, value in data_cc_yaml['quality_management_system']: | |
| if not value: | |
| msg = (f"Because of the dataset represented by , this high-risk AI system fails the quality management requirements under Article 17.") | |
| return msg | |
| def run_compliance_analysis_on_model(model_cc_yaml): | |
| for key, value in model_cc_yaml['risk_management_system']: | |
| if not value: | |
| msg = (f"Because of the model represented by , this high-risk AI system fails the risk management requirements under Article 9.") | |
| for key, value in data_cc_yaml['technical_documentation']: | |
| if not value: | |
| msg = (f"Because of the model represented by , this high-risk AI system fails the technical documentation requirements under Article 11.") | |
| for key, value in data_cc_yaml['transparency_and_provision_of_information_to_deployers']: | |
| if not value: | |
| msg = (f"Because of the model represented by , this high-risk AI system fails the transparency requirements under Article 13.") | |
| for key, value in data_cc_yaml['accuracy_robustness_cybersecurity']: | |
| if not value: | |
| msg = (f"Because of the model represented by , this high-risk AI system fails the quality management requirements under Article 15.") | |
| for key, value in data_cc_yaml['quality_management_system']: | |
| if not value: | |
| msg = (f"Because of the model represented by , this high-risk AI system fails the quality management requirements under Article 17.") | |
| return msg | |
| def check_intended_use_aligned(): | |
| # We want to run this function for everything classified as a high_risk_ai_system | |
| # We also need to run it for all | |
| # Add any of the intended purposes of the overall project to a set of intended purposes | |
| if project_cc_yaml['high_risk_ai_system']['safety_component'] == True: | |
| intended_purpose = "safety_component" | |
| if project_cc_yaml['high_risk_ai_system']['product_regulated_machinery'] == True: | |
| intended_purpose = "product_regulated_machinery" | |
| if project_cc_yaml['high_risk_ai_system']['product_regulated_toy'] == True: | |
| intended_purpose = "product_regulated_toy" | |
| if project_cc_yaml['high_risk_ai_system']['product_regulated_watercraft'] == True: | |
| intended_purpose = "product_regulated_watercraft" | |
| if project_cc_yaml['high_risk_ai_system']['biometric_categorization'] == True: | |
| intended_purpose = "biometric_categorization" | |
| if project_cc_yaml['high_risk_ai_system']['emotion_recognition'] == True: | |
| intended_purpose = "emotion_recognition" | |
| if project_cc_yaml['high_risk_ai_system']['critical_infrastructure'] == True: | |
| intended_purpose = "critical_infrastructure" | |
| if project_cc_yaml['high_risk_ai_system']['admission'] == True: | |
| intended_purpose = "admission" | |
| if project_cc_yaml['high_risk_ai_system']['recruitment'] == True: | |
| intended_purpose = "recruitment" | |
| if project_cc_yaml['high_risk_ai_system']['public_assistance'] == True: | |
| intended_purpose = "public_assistance" | |
| if project_cc_yaml['high_risk_ai_system']['victim_assessment'] == True: | |
| intended_purpose = "victim_assessment" | |
| if project_cc_yaml['high_risk_ai_system']['polygraph'] == True: | |
| intended_purpose = "polygraph" | |
| if project_cc_yaml['high_risk_ai_system']['judicial'] == True: | |
| intended_purpose = "judicial" | |
| # For each Data CC, put the intended uses in a set and then make sure the Project's intended use is in the set | |
| dataset_intended_purpose = () | |
| if data_cc_yaml['intended_purpose']['safety_component'] == True: | |
| dataset_intended_purpose.add("safety_component") | |
| if data_cc_yaml['intended_purpose']['product_regulated_machinery'] == True: | |
| dataset_intended_purpose.add("product_regulated_machinery") | |
| if data_cc_yaml['intended_purpose']['product_regulated_toy'] == True: | |
| dataset_intended_purpose.add("product_regulated_toy") | |
| if data_cc_yaml['intended_purpose']['product_regulated_watercraft'] == True: | |
| dataset_intended_purpose.add("product_regulated_watercraft") | |
| if data_cc_yaml['intended_purpose']['biometric_categorization'] == True: | |
| dataset_intended_purpose.add("biometric_categorization") | |
| if data_cc_yaml['intended_purpose']['emotion_recognition'] == True: | |
| dataset_intended_purpose.add("emotion_recognition") | |
| if data_cc_yaml['intended_purpose']['critical_infrastructure'] == True: | |
| dataset_intended_purpose.add("critical_infrastructure") | |
| if data_cc_yaml['intended_purpose']['admission'] == True: | |
| dataset_intended_purpose.add("admission") | |
| if data_cc_yaml['intended_purpose']['recruitment'] == True: | |
| dataset_intended_purpose.add("recruitment") | |
| if data_cc_yaml['intended_purpose']['public_assistance'] == True: | |
| dataset_intended_purpose.add("public_assistance") | |
| if data_cc_yaml['intended_purpose']['victim_assessment'] == True: | |
| dataset_intended_purpose.add("victim_assessment") | |
| if data_cc_yaml['intended_purpose']['polygraph'] == True: | |
| dataset_intended_purpose.add("polygraph") | |
| if data_cc_yaml['intended_purpose']['judicial'] == True: | |
| dataset_intended_purpose.add("judicial") | |
| if project_intended_purpose not in dataset_intended_purpose: | |
| print("You are not compliant") | |
| # Now do the exact same thing for all models | |
| model_intended_purpose = () | |
| if model_cc_yaml['intended_purpose']['safety_component'] == True: | |
| dataset_intended_purpose.add("safety_component") | |
| if model_cc_yaml['intended_purpose']['product_regulated_machinery'] == True: | |
| dataset_intended_purpose.add("product_regulated_machinery") | |
| if model_cc_yaml['intended_purpose']['product_regulated_toy'] == True: | |
| dataset_intended_purpose.add("product_regulated_toy") | |
| if model_cc_yaml['intended_purpose']['product_regulated_watercraft'] == True: | |
| dataset_intended_purpose.add("product_regulated_watercraft") | |
| if model_cc_yaml['intended_purpose']['biometric_categorization'] == True: | |
| dataset_intended_purpose.add("biometric_categorization") | |
| if model_cc_yaml['intended_purpose']['emotion_recognition'] == True: | |
| dataset_intended_purpose.add("emotion_recognition") | |
| if model_cc_yaml['intended_purpose']['critical_infrastructure'] == True: | |
| dataset_intended_purpose.add("critical_infrastructure") | |
| if model_cc_yaml['intended_purpose']['admission'] == True: | |
| dataset_intended_purpose.add("admission") | |
| if model_cc_yaml['intended_purpose']['recruitment'] == True: | |
| dataset_intended_purpose.add("recruitment") | |
| if model_cc_yaml['intended_purpose']['public_assistance'] == True: | |
| dataset_intended_purpose.add("public_assistance") | |
| if model_cc_yaml['intended_purpose']['victim_assessment'] == True: | |
| dataset_intended_purpose.add("victim_assessment") | |
| if model_cc_yaml['intended_purpose']['polygraph'] == True: | |
| dataset_intended_purpose.add("polygraph") | |
| if model_cc_yaml['intended_purpose']['judicial'] == True: | |
| dataset_intended_purpose.add("judicial") | |
| if project_intended_purpose not in dataset_intended_purpose: | |
| print("You are not compliant") | |
| # # If the project is a GPAI model, check that is has met all the requirements for such systems: | |
| # if gpai_model: | |
| # # Do this by examining the Project CC | |
| # for key, value in project_cc_yaml['gpai_model_provider_obligations']: | |
| # if not value: | |
| # msg = ("GPAI model fails the transparency requirements under Article 53.") | |
| # # Do this by examining any and all Data CCs too | |
| # for filename in os.listdir(folder_path): | |
| # # Check if the search word is in the filename | |
| # if "data_cc.md" in filename.lower(): | |
| # # If it is, load the yaml | |
| # with open(folder_path + filename, 'r') as file: | |
| # data_cc_yaml = yaml.safe_load(file) | |
| # for key, value in data_cc_yaml['gpai_requirements']['gpai_requirements']: | |
| # if not value: | |
| # msg = (f"Because of the dataset represented by {filename}, this GPAI fails the transparency requirements under Article 53.") | |
| # # Do this by examining any and all Model CCs too | |
| # for filename in os.listdir(folder_path): | |
| # # Check if the search word is in the filename | |
| # if "model_cc.md" in filename.lower(): | |
| # # If it is, load the yaml | |
| # with open(folder_path + filename, 'r') as file: | |
| # model_cc_yaml = yaml.safe_load(file) | |
| # for key, value in model_cc_yaml['obligations_for_providers_of_gpai_models']: | |
| # if not value: | |
| # msg = (f"Because of the model represented by {filename}, this GPAI fails the transparency requirements under Article 53.") | |
| # # If the project is a GPAI model with systematic risk, check that is has additionally met all the requirements for such systems: | |
| # if gpai_model_systematic_risk: | |
| # # Do this by examining the Project CC | |
| # for key, value in project_cc_yaml['gpai_obligations_for_systemic_risk_models']: | |
| # if not value: | |
| # msg = ("GPAI model with systematic risk fails the transparency requirements under Article 55.") | |
| # # Do this by examining any and all Model CCs too | |
| # for filename in os.listdir(folder_path): | |
| # # Check if the search word is in the filename | |
| # if "model_cc.md" in filename.lower(): | |
| # # If it is, load the yaml | |
| # with open(folder_path + filename, 'r') as file: | |
| # model_cc_yaml = yaml.safe_load(file) | |
| # for key, value in model_cc_yaml['obligations_for_providers_of_gpai_models_with_systemic_risk']: | |
| # if not value: | |
| # msg = (f"Because of the model represented by {filename}, this GPAI model with systematic risk fails the transparency requirements under Article 55.") | |