Infrastructure and Governance
Overview
This theme tackles a second cross-cutting issue vital to deploying AI for collective intelligence at scale in any use domain: ensuring effective infrastructure and governance (I&G). It is fuelled by data from each of the domain-specific AI4CI Case Studies and builds on experience with the EU-wide MIDAS platform in order to develop new tools and guidelines for AI systems that ensure privacy, quality and integrity of data, and control access to data and systems across relevant AI infrastructures.
Case study
This theme’s Case Study comprises two inter-related strands of activity:
Development of new tools and guidelines for national-scale AI infrastructure governance in the context of applied AI for healthcare
This strand builds on work developing effective applied AI in the context of healthcare systems for, e.g., cancer, dementia, arthritis. The data sensitivity and outcome criticality of these challenges for AI makes this the ideal domain in which to develop effective I&G tools and thinking.
Two-way engagement on key I&G questions with AI4CI’s domain specific case studies and its cross-cutting theme in human-centred design
This strand ensures both that I&G thinking is built into the activity of each AI4CI Case Study, and that the unique and novel aspects of those Case Studies can inform new thinking on I&G questions triggered by the Hub’s pursuit of AI within a collective intelligence setting.
Principles, infrastructure and governance
Both strands will address ethical, legal, and social aspects (ELSA) of I&G, embedding ELSA accountability in robust governance frameworks and data infrastructure plans. Each AI4CI Case Study will be supported in embedding ELSA, FAIR Principles and the Assessment List for Trustworthy Artificial Intelligence (ALTAI) into their Data Management Plans (DMPs) and infrastructure governance.
The theme’s activities will also be informed by outputs of the Artificial Intelligence Safety Institute (AISI) and other relevant guidelines, for example, the EU’s Ethics Guidelines for Trustworthy AI, and relevant regulation frameworks such as the EU AI Act.
This theme ensures that AI4CI has robust infrastructure and governance guided by appropriate regulations and principles, delivering trustworthy AI systems and solutions that are human-centred, fair, transparent, and interpretable for the diverse range of end users within and across each theme.
The theme’s findings will be collated and disseminated to government and national-scale AI activities including the UK’s new Isambard-AI facility, AI CDTs and national AI research hubs.