Synthema
Public Deliverables
D7.2 Ethic Design requirements – Public deliverable
This deliverable presents the requirements for an ethical and trustworthy design of SYNTHEMA technologies. This deliverable outlines the regulatory challenges for AI systems in healthcare, discussing the role of regulations as both a barrier and a driver of technology innovation. Then, the seven principles for Trustworthy AI are discussed: these introduce the forthcoming AI Act. The deliverable analyses the forthcoming regulation and the risk categories and gives an overview of the standardisation activities related to the AI Act in the EU. The Value-Sensitive Design methodology is presented, and its implementation in the first year of SYNTHEMA is discussed. In the final section, the discussion on the ethical framework is narrowed down to seven key ethics requirements for the development of the SYNTHEMA technologies.
D7.1 Quality Assurance Guidelines – Public deliverable
The present deliverable constitutes a reference document at consortium partners’ disposal for ensuring the highest quality in the execution of the project, by providing a framework of procedures, guidelines, standards and rules to guarantee the quality of project outcomes (e.g., deliverables, periodic reports, software, infrastructure).
D6.4 Project website – Public deliverable
The SYNTHEMA website (www.synthema.eu) includes key information about the project and aims to communicate to both professionals and wider audiences.
D6.1 Impact Master Plan
This document outlines the project dissemination, communication exploitation strategies for the SYNTHEMA Horizon Europe project.
D5.1 Data management plan – Public deliverable
This deliverable provides the Data management plan (DMP) initial draft for SYNTHEMA. SYNTHEMA has populated this DMP in line with recommended EC guidelines. It will be updated as the project proceeds. SYNTHEMA is novel in that the data assets to beproduced will be synthetic in nature. There may yet be a risk of re-identification given that the synthetic data will be generated based on inference from real data. The plan therefore considers this paradigm carefully in its plans.