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84e2146
1
Parent(s):
2174f21
Added some comments about potential future work
Browse files- data_cc.yaml +2 -2
- model_cc.yaml +1 -17
- project_cc.yaml +6 -0
data_cc.yaml
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@@ -1,6 +1,6 @@
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card_type: "data" # "project", "data" or "model"
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#
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intended_purpose:
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safety_component:
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@@ -192,7 +192,7 @@ high_risk_ai_system_requirements:
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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'
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value: !!bool false
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#
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gpai_model_requirements:
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data_type:
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card_type: "data" # "project", "data" or "model"
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# Metadata related to intended purpose(s) of data
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intended_purpose:
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safety_component:
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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'
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value: !!bool false
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# Metadata related to data-related requirements for GPAI models
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gpai_model_requirements:
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data_type:
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model_cc.yaml
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@@ -208,7 +208,7 @@ high_risk_ai_system_requirements:
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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'
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value: !!bool false
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#
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gpai_model_requirements:
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task:
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cybersecurity:
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article: 'Art. 55(1)(d)'
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verbose: 'Ensure an adequate level of cybersecurity protection for the GPAI model with systemic risk and the physical infrastructure of the mode'
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value: !!bool false
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# Metadata related to transparency requirements for some AI systems (Article 50)
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transparency_requirements:
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generates_media: # clean this up
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article: 'Art. 50(2)'
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verbose: 'If the model generates synthetic audio, image, video or text content'
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value: !!bool false
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marked_as_generated:
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article: 'Art. 50(2)'
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verbose: 'If outputs are marked in a machine-readable format and detectable as artificially generated or manipulated'
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value: !!bool false
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interoperability:
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article: 'Art. 50(2)'
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verbose: 'Providers shall ensure their technical solutions are effective, interoperable, robust and reliable as far as this is technically feasible, taking into account specificities and limitations of different types of content, costs of implementation and the generally acknowledged state-of-the-art, as may be reflected in relevant technical standards'
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value: !!bool false
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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'
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value: !!bool false
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# Metadata related to model-related requirements for GPAI models
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gpai_model_requirements:
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task:
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cybersecurity:
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article: 'Art. 55(1)(d)'
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verbose: 'Ensure an adequate level of cybersecurity protection for the GPAI model with systemic risk and the physical infrastructure of the mode'
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value: !!bool false
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project_cc.yaml
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@@ -2,6 +2,8 @@
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# Information related to high-level characteristics of AI project, including the role of the operator, their location, and where the output is used
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card_type: "project" # "project", "data" or "model"
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operator_details:
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provider:
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article: 'Art. 2'
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# Information related to whether or not the project, if an AI system, is a high-risk AI system
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high_risk_ai_system:
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safety_component:
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article: 'Art. 6(1)(a)'
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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'
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value: !!bool false
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high_risk_ai_system_exceptions:
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filter_exception_rights:
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article: 'Art. 6(3)'
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# Information related to high-level characteristics of AI project, including the role of the operator, their location, and where the output is used
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card_type: "project" # "project", "data" or "model"
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# TODO potentially add scenarios that get the provider off the hook per Article 25
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operator_details:
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provider:
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article: 'Art. 2'
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# Information related to whether or not the project, if an AI system, is a high-risk AI system
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# 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
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high_risk_ai_system:
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safety_component:
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article: 'Art. 6(1)(a)'
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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'
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value: !!bool false
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# TODO potentially add military exception and/or law enforcement exception to the below
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high_risk_ai_system_exceptions:
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filter_exception_rights:
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article: 'Art. 6(3)'
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