Provider dict | AI_Product_Solution dict | AI_Standalone_Solution dict | Industry dict | AI_System_Details dict | AI_System_Data dict | Natural_Person_Interaction dict | Audit_Log dict | Generative_AI_Details dict | Human_Oversight dict | Bias_Mitigation dict | Decommissioning_Protocol dict | Emergency_Procedures dict |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
{
"Name": "ACME",
"Authorized_Representative": "If applicable: name with address",
"Description": "ACME activity",
"URL": "ACME website",
"Address": "ACME location",
"Country": "ACME country",
"Main_Contact": "Main company name and email contact, executive level, for AI topics",
"DPO": "Data Protection ... | {
"Name": "name of the solution or product that leverages the AI system and where the AI system is embedded",
"Description": "detailed description",
"Intended_purpose": "detailed description of the use for which the AI system is intended by the provider, See definition of intended purpose in Article 3 (12)",
"F... | {
"Name": "name of the AI standalone solution",
"Description": "detailed description",
"Intended_purpose": "detailed description of the use for which the AI system is intended by the provider",
"Focused_Market": "B2C or B2B or internal use",
"Date_Market": "Date the Product with the embedded AI System is plac... | {
"Providers_Industry": "name of the provider’s industry or area of work",
"AI_Solution_Industry": "name of the intended industry where the AI system is placed on the market",
"High_Risk": "to flag if it is part of high risk industries (e.g. toys)",
"Other_Regulations": {
"Industry_Regulation": "Applicable ... | {
"Version": "Version number or code",
"Capabilities": "List of the AI's capabilities",
"Limitations": "List of the AI's limitations",
"Intended_purpose": "detailed description of the intended use of the AI system",
"Foreseeable_misuseForbidden_use": "detailed description of the forbidden use(s) of the AI sys... | {
"Datasets": [
{
"Data_Type": {
"Image_Data": "YES or NO",
"Text_Data": "YES or NO",
"Tabular_Data": "YES or NO",
"Voice_Data": "YES or NO"
},
"Data_Volume": {
"< 1 Million rows": "YES or NO",
"< 10 Million rows": "YES or NO",
"> 10 Millio... | {
"Interaction_Type": "e.g. Chatbot, Image Recognition, etc.",
"Affected_Persons": "Any natural person or group of persons who are subject to or otherwise affected by the AI System”, # See for instance Article 3 (8a), Article 10 (3), Article 13 (3) (b) (iv)",
"Desired_Input_Data": "Data provided to or directly ac... | {
"Log_Entries": [
{
"Date_Time": "Timestamp of the interaction",
"Input": "Description or snapshot of input received",
"Output": "Description or snapshot of output produced"
}
]
} | {
"Name": "Name of the Generative AI System",
"Version": "Version number or code",
"Purpose": "Description of what the Generative AI is intended to do",
"Capabilities": "List of the AI's capabilities",
"Limitations": "List of the AI's limitations",
"Intended_purpose": "detailed description of the intended u... | {
"Oversight_Type": "e.g. Periodic review, real-time monitoring, etc.",
"Intervention_Mechanism": "How a human can intervene or override the AI"
} | {
"Mitigation_Strategies_Used": "List or description of strategies used",
"Bias_Testing": "Description or results of any bias testing done"
} | {
"Procedure": "Steps to decommission the AI system",
"Notification_Mechanism": "How stakeholders are informed"
} | {
"Procedure_Type": "e.g. For handling deep fakes, misinformation, etc.",
"Response_Mechanism": "Steps or mechanisms for rapid response"
} |
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