The deliverable primarily covers the initial implementation of the Policies and Explainability and Interpretation Framework V1. It describes and demonstrates the tools and algorithms developed during this implementation phase. The document is structured into several chapters, starting with an introduction to the project and the deliverable. The subsequent chapters delve into the background, state of the art, solution design, implementation details, and finally, the conclusions and future works. Overall, this deliverable lays the groundwork for the project's AI models and tools, setting the stage for further development and refinement in subsequent phases
The present report continues the work of deliverable I2-D2 [Bonatti and Olmedilla, 2005b] by present...
The aim of this deliverable is to support and provide context to the CAPABLE system demonstration vi...
This document is the project deliverable D1.1 Conceptual framework of the awareness, communication ...
This deliverable is a code deliverable, serving as a guiding source to all the code and documentatio...
The objective of this deliverable is to specify the overall architecture for the AI4PublicPolicy pla...
The main objective of this deliverable is to describe the first version of the software demonstrator...
This deliverable describes the second version of the AI4PublicPolicy reference architecture, the fir...
AI4EU is a European AI-on-demand platform that facilitates knowledge transfer and provides basic gui...
Deliverable D2.3 is the final version of the iv4XR Framework. Since the Deliverable-type D2.3 is OTH...
This deliverable presents a detailed timeline outlining the steps for AI4EOSC Release 1, scheduled f...
This deliverable corresponds to the repositories of simulation scenarios, risk models, assurance mod...
This deliverable describes the implementation framework, the workflows for development, and the secu...
This deliverable builds on the conceptual model in D2.4 and creates a model that can be implemented ...
Big Data-powered Artificial Intelligence (AI) applications for decision-making purposes are rapidly ...
The purpose of this deliverable is to describe the end to end (E2E) scenarios that will explore how ...
The present report continues the work of deliverable I2-D2 [Bonatti and Olmedilla, 2005b] by present...
The aim of this deliverable is to support and provide context to the CAPABLE system demonstration vi...
This document is the project deliverable D1.1 Conceptual framework of the awareness, communication ...
This deliverable is a code deliverable, serving as a guiding source to all the code and documentatio...
The objective of this deliverable is to specify the overall architecture for the AI4PublicPolicy pla...
The main objective of this deliverable is to describe the first version of the software demonstrator...
This deliverable describes the second version of the AI4PublicPolicy reference architecture, the fir...
AI4EU is a European AI-on-demand platform that facilitates knowledge transfer and provides basic gui...
Deliverable D2.3 is the final version of the iv4XR Framework. Since the Deliverable-type D2.3 is OTH...
This deliverable presents a detailed timeline outlining the steps for AI4EOSC Release 1, scheduled f...
This deliverable corresponds to the repositories of simulation scenarios, risk models, assurance mod...
This deliverable describes the implementation framework, the workflows for development, and the secu...
This deliverable builds on the conceptual model in D2.4 and creates a model that can be implemented ...
Big Data-powered Artificial Intelligence (AI) applications for decision-making purposes are rapidly ...
The purpose of this deliverable is to describe the end to end (E2E) scenarios that will explore how ...
The present report continues the work of deliverable I2-D2 [Bonatti and Olmedilla, 2005b] by present...
The aim of this deliverable is to support and provide context to the CAPABLE system demonstration vi...
This document is the project deliverable D1.1 Conceptual framework of the awareness, communication ...