Remove outdated comments

data_cc.yaml

@@ -2,7 +2,7 @@ card_details:
   card_type: "data" # "project", "data" or "model"
   card_label: "data_01"
 
-# Metadata related to intended purpose(s) of data 
+# Metadata related to intended purpose(s) of data (which must align with those of overall AI project, if overall AI project is a high-risk AI system)
 
 intended_purpose:
   safety_component: 
@@ -58,7 +58,7 @@ intended_purpose:
     verbose: 'This dataset is appropriate to use for AI projects intended to be used by a judicial authority or on their behalf to assist a judicial authority in researching and interpreting facts and the law and in applying the law to a concrete set of facts, or to be used in a similar way in alternative dispute resolution'
     value: !!bool false 
 
-# Metadata related to data-related requirements for high-risk AI systems
+# Metadata related to model-related requirements when AI project is a high-risk AI system
 
 high_risk_ai_system_requirements:
 # data governance
@@ -188,10 +188,9 @@ high_risk_ai_system_requirements:
   technical_documentation_cybersecurity:  
     article: 'Art. 11; Annex IV(2)(h)'
     verbose: 'Cybersecurity measures were put in place as regards the data (e.g., scanning for data poisoning)'
-    value: !!bool false
-    
+    value: !!bool false  
   transparency_and_provision_of_information_to_deployers: 
-    article: '# Art. 13(3)(b)(vi)'
+    article: 'Art. 13(3)(b)(vi)'
     verbose: 'Dataset is accompanied by instructions for use that convery relevant information about it, taking into account its intended purpose'
     value: !!bool false
   quality_management_system: 
@@ -199,7 +198,7 @@ high_risk_ai_system_requirements:
     verbose: 'Datset was subject to a quality management system that is documented in a systematic and orderly manner in the form of written policies, procedures and instructions, and includes a description of the systems and procedures for data management, including data acquisition, data collection, data analysis, data labelling, data storage, data filtration, data mining, data aggregation, data retention and any other operation regarding the data'
     value: !!bool false
 
-# Metadata related to data-related requirements for GPAI models 
+# Metadata related to data-related requirements when AI project is a GPAI model 
 
 gpai_model_requirements: 
   data_type: 

model_cc.yaml

@@ -2,7 +2,7 @@ card_details:
   card_type: "model" # "project", "data" or "model"
   card_label: "model_01"
 
-# Metadata related to intended purpose(s) of model 
+# Metadata related to intended purpose(s) of model (which must align with those of overall AI project, if overall AI project is a high-risk AI system)
 
 intended_purpose:
   safety_component: 
@@ -58,19 +58,7 @@ intended_purpose:
     verbose: 'This model is appropriate to use for AI projects intended to be used by a judicial authority or on their behalf to assist a judicial authority in researching and interpreting facts and the law and in applying the law to a concrete set of facts, or to be used in a similar way in alternative dispute resolution'
     value: !!bool false 
 
-# Metadata that will help us determine if the model itself is a GPAI and, therefore, must satisfy the requirements of GPAI models
-
-classification_of_gpai_models:
-  high_impact_capabilities: 
-    article: 'Art. 51(1)(a)'
-    verbose: 'The model has high impact capabilities evaluated on the basis of appropriate technical tools and methodologies, including indicators and benchmarks'
-    value: !!bool false
-  flops: 
-    article: 'Art. 51(2)'
-    verbose: 'The cumulative compute used for training the model, as measured in floating point operations (FLOPs), was greater than 10^25.'
-    value: !!bool false
-
-# Metadata related to model-related requirements for high-risk AI systems
+# Metadata related to model-related requirements when AI project is a high-risk AI system
 
 high_risk_ai_system_requirements:
   risk_management_system_general:
@@ -181,7 +169,7 @@ high_risk_ai_system_requirements:
     article: 'Art. 13(3)(e)'
     verbose: 'Model is accompanied by instructions for use that include computational and hardware resources needed, the expected lifetime of the model and any necessary maintenance and care measures, including their frequency, to ensure the proper functioning of that model, including as regards software updates'
     value: !!bool false
-  accuracy_robustness_cybersecurity_accuracy:  # These need to be cleaned up and to match/compliment project cc
+  accuracy_robustness_cybersecurity_accuracy:  # These must match/compliment project cc
     article: 'Art. 15(1)'
     verbose: 'Model is designed and developed to achieve appropriate level of accuracy'
     value: !!bool false
@@ -210,7 +198,7 @@ high_risk_ai_system_requirements:
     verbose: 'Examination, test and validation procedures to be carried out before, during and after the development of the high-risk AI system, and the frequency with which they have to be carried out'
     value: !!bool false
 
-# Metadata related to model-related requirements for GPAI models 
+# Metadata related to model-related requirements when AI project is a GPAI model 
 
 gpai_model_requirements:
   task:  
@@ -298,6 +286,8 @@ gpai_model_requirements:
     verbose: 'Where applicable, detailed description of the measures put in place for the purpose of conducting internal and/or external adversarial testing (e.g. red teaming), model adaptations, including alignment and fine-tuning'
     value: !!bool false
 
+# Metadata related to model-related requirements when AI project is a GPAI model with systemic risk
+
 gpai_model_with_systemic_risk_requirements:
   evaluation: 
     article: 'Art. 55(1)(a)'

project_cc.yaml

@@ -1,10 +1,10 @@
-
-# Information related to high-level characteristics of AI project, including the role of the operator, their location, and where the output is used
 card_details: 
   card_type: "project" # "project", "data" or "model"
   card_label: "project"
-  
-# TODO potentially add scenarios that get the provider off the hook per Article 25 
+
+# Information related to high-level characteristics of AI project, including the role of the operator, their location, and where the output is used
+
+# TODO add some attributes related to Article 25, which captures scenarios where the provider is no longer responsible for some requirements 
 
 operator_details:
   provider: 
@@ -44,7 +44,7 @@ gpai_model:
 
 # Information related to whether or not the project, if an AI system, is a high-risk AI system
 
-# TODO Potentially add all of the use cases mentioned in Annex I below (those covered by existing regulations) rather than bundle them up as they are now
+# TODO Unbundle the use cases mentioned in Annex I 
 
 high_risk_ai_system:
   safety_component: 
@@ -100,8 +100,6 @@ high_risk_ai_system:
     verbose: 'AI project is intended to be used by a judicial authority or on their behalf to assist a judicial authority in researching and interpreting facts and the law and in applying the law to a concrete set of facts, or to be used in a similar way in alternative dispute resolution'
     value: !!bool false 
 
-# TODO potentially add military exception and/or law enforcement exception to the below
-
 high_risk_ai_system_exceptions:    
   filter_exception_rights: 
     article: 'Art. 6(3)'
@@ -141,10 +139,14 @@ gpai_model_systemic_risk:
 # Information related to the Act's exceptions for scientific research, open-source AI, and more
 
 excepted:
-  military: # only applies to AI systems, must implement that in the logic
+  military: # only applies to AI systems, must implement that in logic
     article: 'Art. 2(3)'
     verbose: 'AI project is placed on the market, put into service, or used with or without modification exclusively for military, defence or national security purposes'
     value: !!bool false 
+  military_use: # only applies to AI systems, must implement that in logic
+    article: 'Art. 2(3)'
+    verbose: 'AI project is not placed on the market or put into service in the Union, but the output is used in the Union exclusively for military, defence or national security purposes, regardless of the type of entity carrying out those activities.'
+    value: !!bool false 
   scientific: 
     article: 'Art. 2(6)'
     verbose: 'AI project is or was specifically developed and put into service for the sole purpose of scientific research and development'
@@ -162,11 +164,6 @@ excepted:
     verbose: 'AI project involves AI models that are released under a free and open-source licence that allows for the access, usage, modification, and distribution of the model, and whose parameters, including the weights, the information on the model architecture, and the information on model usage, are made publicly available. This exception shall not apply to general purpose AI models with systemic risks'
     value: !!bool false  
 
-    # We have to remember that even when open_source_gpai_model == true, the exception does not exist if gpai_model_with_systemic_risk == true
-    # Also, even when open_source_gpai_model == true, the project must still satisfy [Article 53(1)(c), 53(1)(d)]:
-    # In other words, project_cc_yaml['gpai_model_obligations']['other']['policy'] and project_cc_yaml['gpai_model_obligations']['other']['content'] must be true
-    # This logic has to be added to compliance_analysis.py 
-
 # Information related to practices prohibited by the Act
 
 prohibited_practice:
@@ -333,12 +330,6 @@ technical_documentation:
     verbose: 'The AI project is either not related to a product covered by the Union harmonisation legislation listed in Section A of Annex I and placed on the market or put into service or, if it is, a single set of technical documentation has been drawn up containing all the information set out in paragraph 1, as well as the information required under those legal acts'
     value: !!bool false 
 
-
-### ypi: add   Annex IV(1)(h)
-###  instructions_for_use:
-###    verbose: 'The Technical Documentation includes a general description of the AI project that covers instructions for use for the deployer and a basic description of the user-interface provided, where applicable.'
- ###   value: !!bool false
-
 # Information related to the record keeping requirements for high-risk AI systems (Article 12)
 
 record_keeping:
@@ -388,7 +379,7 @@ transparency_and_provision_of_information_to_deployers:
     value: !!bool false 
   compliance: 
     article: 'Art. 13(1)'
-    verbose: 'AI project is designed and developed with transparency to ensure compliance with provider and deployer obligations in Section 3'
+    verbose: 'AI project is designed and developed with transparency to ensure compliance with provider and deployer obligations in Section 3' # replace reference to section with text
     value: !!bool false 
   instructions: 
     article: 'Art. 13(2)'
@@ -540,7 +531,7 @@ quality_management_system:
 fundamental_rights_assessment:
   process: 
     article: 'Art. 27(1)(a)'
-    verbose: 'AI project has been subject to a fundamental rights impact assessment that includes a description of the deployer’s processes in which the AI project will be used in line with its intended purpose'
+    verbose: 'AI project has been subject to a fundamental rights impact assessment that includes a description of the deployer processes in which the AI project will be used in line with its intended purpose'
     value: !!bool false 
   time_period: 
     article: 'Art. 27(1)(b)'
@@ -682,8 +673,6 @@ gpai_model_obligations:
       verbose: 'Prior to placing the AI project on the Union market, the provider, if established in a third country, has, by written mandate, appointed an authorised representative which is established in the Union.'
       value: !!bool false 
 
-    # Add other obligations of domestic represenatitives 
-
 # Information related to the Act's requirements for GPAI models with systematic risk 
 
 gpai_models_with_systemic_risk_obligations:
@@ -756,7 +745,7 @@ additional_provider_obligations:
 
 # Information related to the additional transparency requirements in Article 50, if applicable
 
-# TODO the requirements seem to be missing from the below. We also need to work on the logic, which is complex. 
+# TODO add requirements below and then implement logic elsewhere
 
 transparency_related: 
   direct_user_interaction: