PUBLIC DELIVERABLES

Deliverable

Deliverable name

Delivery date (month)

D3.1 

Comprehensive legal analysis and map

9

D3.2

Ethical considerations of AI compliance

12

D3.3

Social analysis and AI acceptance modelling

14

D3.4

Guidelines for entering AI data markets

18

D3.5

Multidisciplinary guidelines for AI stakeholders

30

D4.2

First set of Development of Data Connectors and CI/CD environment

24

D4.3

Final set of Development of Data Connectors

36

D4.4

Reducing the e-waste in dataspace federation

36

D4.5

Privacy/accuracy trade- off when using differential privacy techniques

32

D5.1

Data generation methods

20

D5.2

Trustworthiness assessment framework

24

D5.3

Ontology Framework

24

D5.4

Lifecycle Metadata Extraction for ML

24

D6.1

Eligibility requirements

9

D6.2

Certification criteria

19

D6.3

Accreditation requirements and training framework for Accredited Independent Labs

19

D7.2

Piloting Environments and Infrastructure

20

D7.3

Demonstrators, version 1

26

D7.4

Demonstrators, Minimal Viable Product

34

D8.1

Communication, dissemination, community building plan, initial report

5

D8.2

Communication, dissemination, community building plan, interim reports

18

D8.3

Communication, dissemination, community building plan, final reports

36

D8.4

Standardisation report

12

D8.7

Final report on achievements and sustainability potential

36