AssessmentTemplate for Algorithmic Impacts: AIA Guide
The National Health Service (NHS) AI Lab has established a series of guidelines for project teams seeking access to the National Medical Imaging Platform (NMIP) dataset. A key requirement for access is the completion of an Algorithmic Impact Assessment (AIA).
To help teams navigate this process, a user guide is available, offering practical steps for completing the AIA. The guide is designed to support teams in their evaluation of the risks and impacts of an AI system, particularly in clinical or healthcare settings.
The AIA template requires a detailed description of the AI system's purpose, scope, and functionality. It also demands information about data usage, including type, source, sensitivity, and governance measures. Teams must assess potential risks related to algorithmic bias, patient safety, privacy, and ethical considerations.
Mitigation strategies to minimize harms and ensure compliance with NHS data standards and legal frameworks such as GDPR are also essential. Teams are expected to provide evidence of clinical validation, transparency, and explainability where applicable. Finally, monitoring and post-deployment surveillance plans for the AI system should be outlined.
The NHS AI Lab prioritizes responsible AI innovation with a focus on transparency, fairness, and patient safety. Given the clinical implications of the NMIP dataset, the AIA will be a critical step reviewed by the NHS AI Lab before granting data access.
To complete the AIA template:
- Carefully read each section of the provided template.
- Provide clear, evidence-backed responses regarding your AI algorithm’s operation and impacts.
- Consult NHS AI Lab guidelines and relevant policy documents such as the MHRA's evolving AI medical device regulations.
- Engage relevant stakeholders including clinical experts and data governance leads.
- Follow any additional submission instructions from the NHS AI Lab or NMIP access team.
For the most precise instructions and the latest user guide, teams should contact the NHS AI Lab directly or check their official website at https://www.nhsx.nhs.uk/ai-lab/ where they publish methods and templates related to AI governance and dataset access.
The AIA template is part of a partnership between the NHS AI Lab and a wider work exploring AIAs in healthcare. The NMIP dataset is a resource managed by the NHS AI Lab team, and access to it is contingent upon the completion of an AIA.
In summary, the Algorithmic Impact Assessment (AIA) is a crucial step for teams seeking access to the National Medical Imaging Platform (NMIP) dataset. By following the provided user guide and guidelines, teams can ensure a smooth and efficient process towards responsible AI innovation in healthcare.
- To ensure access to the National Medical Imaging Platform (NMIP) dataset, teams must complete an Algorithmic Impact Assessment (AIA), which involves providing a detailed description of the AI system's purpose, data usage, mitigation strategies, and potential risks, with a focus on transparency, fairness, and patient safety, as part of a collaborative effort between the NHS AI Lab and healthcare stakeholders.
- In the pursuit of responsible AI innovation in health-and-wellness and science, teams should utilize technology to effectively carry out the AIA, following the provided user guide, consulting relevant policy documents, engaging stakeholders, and ensuring compliance with data standards like GDPR, before outlining monitoring and post-deployment surveillance plans for their AI system.
