Artificial intelligence (AI) has moved from being an emerging technology to becoming a tool with real capacity to transform the relationship between citizens and public administrations. The challenge, however, is no longer to test new solutions, but to deploy them in a safe, coordinated and sustainable way to generate public value on a large scale.
This is one of the main conclusions of thereport on artificial intelligence and public administration presented by Ineco. The report argues that the incorporation of AI into the Administration must be aimed at improving the citizen experience, simplifying procedures, streamlining procedures and increasing the quality and coherence of public decisions. To achieve this, it considers it insufficient to promote only pilot tests or isolated initiatives, and advocates building common capabilities that are reusable, measurable and shared between administrations.
From isolated projects to a shared strategy
The document underlines that administrations already have a solid digital foundation on which to build the next generation of AI-based public services. However, for this transformation to be effective, it is necessary to move towards governance models that encourage collaboration, knowledge exchange and the reuse of solutions.
In this sense, one of the central proposals is the creation of a Federated Center of Excellence, conceived as a technical and methodological support structure for all public administrations. This body would help avoid duplication, share learning and accelerate the implementation of artificial intelligence solutions with guarantees.
The objective is to have a common framework that allows sharing of models, components, data and good practices, while establishing homogeneous criteria in areas such as data quality, human supervision, accessibility, explainability of algorithms and risk management.
Measuring maturity to deploy AI with guarantees
Another of the highlighted recommendations is the definition of a shared system to assess the maturity of AI in administrations. This tool would allow diagnosing the level of preparation of each organization before bringing solutions to productive environments and establishing minimum requirements adapted to the level of risk of each use case.
According to the report, this approach would contribute to ordering the deployment of AI in the public sector, ensuring that its adoption is carried out with homogeneous, proportional criteria and aligned with the general interest.
