The AI4PublicPolicy VPME will enable a novel approach to the development of evidence driven policies, characterized by the following properties:
1) AI-oriented: The VPME will take advantage of AI technologies and tools, to boost the automation, efficiency, transparency and trustworthiness of the policy making process. AI4PublicPolicy will integrate a wide range of AI tools, including Policy Recommendation, Policy Simulation and Policy Benchmarking tools, chatbots and NLP tools for the reception of citizens’ feedback, Opinion Mining and Sentiment Analysis tools for analysing citizens opinion and feedback and more. VPME will leverage AI tools across the entire policy development lifecycle. AutoML approaches will also be incorporated in the overall solution to provide the required support to non-technical public administrators while utilizing the respective AI solutions.
2) Cloud-based: Access to resources will be distributed, virtualized and accessible through the EOSC/EGI cloud and HPC resources. EOSC/EGI physical resources will be used to support multiple virtualized instances of the VPME, towards supporting the needs of different users (i.e. policy makers). Hence, end-users of the AI4PublicPolicy services and tools will be able to access the resources that are authorized to use regardless of their owner and location.
3) Local Actors-Centric: The policy development tools and process of the VPME will be centric to the local actors (citizens and businesses), i.e. policies will be driven by the actors’ feedback on the policies under development and on the policy development process itself (e.g. utilization of specific datasets). To this end, the VPME will provide AI tools for collecting and analysing citizens’ feedback, such as chatbot interfaces for citizens interactions and opinion mining tools for analysing and understanding citizens’ feedback in electronic channels like social media. 4) Transparent and Trustworthy: AI4PublicPolicy emphasizes the transparency of the policy making process and of the policy making outcomes (i.e. of the policies). To this end, the project will implement tools that boost the transparency of the AI processes and of the policy outcomes, notably XAI tools that will help policy makers in properly interpreting the outcomes of the AI algorithms and in presenting them to citizens’ accordingly. Coupled with the active participation of citizens’ in the policy development process, the XAI technologies and tools of the project will boost the transparency and accountability of the public authorities, as well as the trust of the citizens to them. To further increase the trustworthiness of the policy development process, AI4PublicPolicy will also implement innovative cyber-defence techniques for the AI tools of the project.
5) Interoperable and Reuse-Driven: The VPME will enable public authorities and other policy makers to reuse policy models and datasets in their policy development tasks. To enable such reuse, AI4PublicPolicy will implement techniques for the semantic interoperability of different policy models and datasets, notably techniques that leverage common ontologies and archetypes, while also realizing the AI models and algorithms as services that can invoked dynamically and thus be reused and repurposed for different datasets.
6) EOSC/EGI-integrated: VPME will benefit from integration with the EOSC/EGI infrastructures. Likewise, the policy development resources of the project will be integrated within the EOSC portal/marketplace and will become available to the EOSC communities. AI4PublicPolicy will also develop its own community that will be offered access to the project’s resources over the EOSC portal.
7) Holistic: The VPME will support a holistic and integrated approach to policy development, through offering not only technical solutions, but also solutions for the ever-important organizational transformation needed to adopt technical (i.e. AI-based) solutions. To this end, the project will produce and integrate (to the VPME) training resources and organizational transformation blueprints that will support the transformation of public administrations in-line with the shift towards data-driven policy making.
8) Ethical and Legal Compliant: AI-based functionalities of the VPME will be compliant to applicable regulations (i.e. GDPR), while adhering to available guidelines for Ethical AI systems. In this direction, the consortium will carry out relevant legal analysis activities, which will be undertaken by the legal expert of the consortium (ALBV).
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