--- sourceDocument: Australia Governance, Risk, and Compliance sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/governance-risk-compliance Release : - australia ft:locale : - en-US ft:publication_title : - Australia Governance, Risk, and Compliance ft:clusterId : - grc bundleId : - grc workflow : - Technology --- # Request a dataset # Request a dataset {#ariaid-title1} * Release version: Australia * * Updated March 12, 2026 * * ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read Request a dataset to support AI model training, testing, validation, or analytical use cases. This process helps ensure data sources are reviewed for quality, privacy, and compliance. ## Before you begin Role required: AI risk and compliance business user (Employee Center), sn_ai_asset_mgmt.ai_asset_owner (AI Control Tower dashboard) ## About this task Datasets are critical inputs for AI systems and models. Requesting a dataset initiates review of data origin, sensitivity, usage purpose, and compliance obligations before the data is used. Datasets can be associated with one or more AI models or AI systems as part of inventory tracking and governance. ## Procedure 1. Request a dataset using one of the following options. | Option | Description | | Employee Center | 1. Navigate to AllSelf-ServiceEmployee Center. 2. Select Help centerTechnology services and then select AI assets from the Technology services topics section. 3. Select the Request a dataset card. Note: AI Risk and Compliance Business User and AI Asset owner can complete this option. | | AI Control Tower | 1. Navigate to AllAI Control Tower. 2. On the AI Control Tower dashboard, select the list icon ![](), and navigate to the AI asset inventory - Managed or AI asset inventory - Unmanaged 3. Select Datasets, then select Add dataset. Note: An AI Asset owner can complete this option. | |-|-| 2. On the form, fill in the fields. For full descriptions of the fields for the Request an AI dataset form, see [Request a dataset form](https://servicenow-prod.fluidtopics.net/AWOVQJWt8bm9oq~wBh3dBg "The Request a dataset form is designed to streamline the request process for procuring a dataset. This intake form confirms that all necessary details, supporting documents, and compliance considerations are captured before moving forward with the approval process."). For more information, on adding a dataset using the AI Control Tower, see [Create dataset assets](https://www.servicenow.com/docs/access?context=create-dataset-assets&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US). 3. **Optional:** To add attachments, select Add attachments. 4. **Optional:** To save the form as a draft and edit it later, select Save as Draft. 5. Select Submit. The dataset request is submitted for governance review. ## What to do next After submitting a dataset request, the next steps depend on your role in the life cycle. AI Product Owner or Requester \[sn_grc_ai_gov.ai_risk_and_compliance_user\]: Provide additional information as requested during intake and onboarding, including details about the AI dataset and intended business outcomes. AI Steward or AI Center of Excellence (AI CoE) \[sn_grc_ai_gov.ai_risk_and_compliance_manager, sn_ai_asset_mgmt.ai_asset_owner\]: Review submitted requests for business and strategy alignment, initiate the review process and trigger required assessments as applicable, and coordinate cross‑functional reviews. Continue to oversee the dataset through its life cycle, including inventory tracking, governance activities, and collaboration across stakeholders. For more information, see [AI Control Tower dashboard](https://www.servicenow.com/docs/access?context=ai-governance&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US). Risk and Compliance Manager \[sn_grc_ai_gov.ai_risk_and_compliance_manager\]: Assess the dataset for regulatory, policy, and risk considerations. Assign risk assessments, recommend controls and attestations, and monitor compliance throughout the dataset and associated AI system life cycle. For more information, see [AI Risk and Compliance workspace](https://servicenow-prod.fluidtopics.net/GWra97fbuMSeap4RZObPLQ "The AI Risk and Compliance workspace is the central hub for AI risk and compliance managers to monitor risk posture, track assessments, manage controls and issues, and oversee AI cases across the enterprise."), [Initiate AI assessment on an AI asset](https://servicenow-prod.fluidtopics.net/C_AHZ2ztCatheap7stFd2g "Initiate AI assessment for the whole AI asset."), [Initiate risk assessment on AI asset](https://servicenow-prod.fluidtopics.net/39tz7ucci~8Nti9owhzwZw "Initiate risk assessment to enable the risk assessor to perform risk assessments on AI systems, evaluating the likelihood and impact of potential risks."), [Initiate risk assessment on AI asset's risks](https://servicenow-prod.fluidtopics.net/AEOzaC~P0VSMeYD6nL3FlQ "Request risk assessments for risks identified during the AI system's impact assessment. These risks are generated based on the responses provided during the impact assessment of the AI system."), and [Manage controls using AI Risk and Compliance](https://servicenow-prod.fluidtopics.net/z5BfYO773DFIc6MDEEVEZA "You can add, remove, and delete controls for an AI asset using the AI Risk and Compliance."). For an overview of how AI systems and datasets move from intake through assessment, deployment, monitoring, and value tracking, see [AI governance life cycle](https://servicenow-prod.fluidtopics.net/NGgy5rh6vyahb~eJihuSOw "Learn more about how organizations can govern AI from initial demand through deployment and ongoing governance monitoring by using the AI Control Tower and AI Risk and Compliance applications together."). * **[Request a dataset form](https://servicenow-prod.fluidtopics.net/AWOVQJWt8bm9oq~wBh3dBg)** The Request a dataset form is designed to streamline the request process for procuring a dataset. This intake form confirms that all necessary details, supporting documents, and compliance considerations are captured before moving forward with the approval process. *[\>]: and then