Paper by the Europeana Initiative: “…places Public AI within the realities of the cultural heritage sector, outlining four concrete ways for the sector supported by the data space to contribute to making it happen in practical operational terms.
The four contributions to Public AI from our sector are to:
- Provide high-quality data and the knowledge needed to keep it traceable, interpretable and reliable. In doing so, cultural heritage institutions help make AI outputs more robust, contextualised and open to scrutiny.
- Manage data access and reuse in fair and reciprocal ways. Cultural heritage institutions are reliable intermediaries and should influence the way cultural information is accessed and reused by AI developers, helping to prevent value extraction without reciprocity and the depletion of public infrastructure.
- Shape how smaller, domain-relevant AI systems are developed and used. This includes helping to shape the governance of their development and deployment, ensuring that AI remains transparent, contestable and aligned with democratic values and regulatory frameworks.
- Strengthen Public AI literacy across institutions and society. Institutions must upskill professionals while helping audiences understand how AI works and engage critically with AI systems they encounter…(More)”.
