AI4PublicPolicy / Objectives and Outcomes

AI4PublicPolicy will complement public policy development functionalities with the ever-important process reengineering and organization transformation activities towards ensuring the effective transition from legacy policy development models to emerging AI-based policy making. To address the challenge and achieve the project goals, AI4PublicPolicy has set eight macro-objectives, as well as some key indicators to evaluate the outcomes. More specifically, the AI4PublicPolicy objectives and key indicators have been defined as follows;

1. Specifications of reference models and processes for automated, transparent, citizen centric policy management based on AI technologies.

KPIs

  • Number of AI tools for policy making to be specified
  • VPME Reference Architecture to be specified
  • Organizational Transformation Blueprints

2. Increased automation and efficiency in policy development through AI-based tools for policy modelling, development, simulation and recommendations tools.

KPIs

  • Reduced time to model and develop a policy model
  • Reduced time to benchmark and compare alternative policies

3. Repurpose, reuse and link AI-based policies and datasets across various domains and data subjects. 

KPIs

  • Ontologies and Taxonomies to be reviewed for specifying the AI4PublicPolicy Ontologies
  • Number of Ontologies and Archetypes to be produced
  • Number of Policies to be reused across organizations in the AI4PublicPolicy market platform
  • Policy Linking Tool

4. Transparent, interpretable and trusted policy development.

KPIs

  • Number of XAI algorithms/techniques to be introduced and validated 
  • Policy Interpretation tool
  • Cyber-security / Cyber-defence Techniques for AI Systems to be Implemented (Evasion, Poisoning)

5. Citizen-centric and business-centric policy developments, evaluation and optimization.

KPIs

  • Artificial Intelligence (AI) tools for citizens interaction and feedback 
  • Policy optimization models and algorithms

6. High performance integrated AI-based policy management based VPME’s integration with EOSC/EGI cloud & HPC resources.

KPIs

  • AI models deployed over the European Cloud Initiative and infrastructure (EOSC)
  • Virtualized Policy Management Environment integrated with EOSC 
  • Stakeholders accessing the EOSC/EGI-based Virtualized Policy Management Environment

7. Validation and evaluation in real-life use cases addressing different policy-related domains.

KPIs

  • Pilot systems to be integrated and deployed
  • Policy Development Use Cases to be Integrated
  • Policy Makers (individuals) to be engaged in the pilots
  • Policy Making Stakeholders engaged in the CoCreation Processes 
  • Tools repurposed and reused across scenarios and use cases

8. Pan-European market platform supported by novel business models for AI-based policy making.

KPIs

  • Policy Makers Registered in the Market Platform 
  • Public Organizations Registered in the Market platform 
  • Training programs available in the market platform
  • Policy Making Datasets in the Market Platform
  • AI algorithms in the market platform
  • AI tools for policy making in the market platform

No Comments

Sorry, the comment form is closed at this time.