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| 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 | |
| } | |
| } | |
| 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_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 | |
| 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 | |
| # # 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.") | |