Opendata, web and dolomites

NL4XAI SIGNED

Interactive Natural Language Technology for Explainable Artificial Intelligence

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 NL4XAI project word cloud

Explore the words cloud of the NL4XAI project. It provides you a very rough idea of what is the project "NL4XAI" about.

mainly    explanatory    implicit    xai    note    nl4xai    jointly    protected    self    innovative    esrs    benefit    artificial    interfaces    intelligence    applies    heritage    economic    automatic    software    train    translate    generation    reported    nl    fundamental    creative    licenses    trough    commercially    interactive    publicly    entrepreneurial    skills    ai    learnt    language    culture    validated    data    complement    automatically    joint    huge    source    models    amount    outcomes    ethical    explanation    base    services    framework    created    unconsciously    explanations    polanyi    techniques    quality    industry    exploited    citizens    decisions    stage    accessible    right    accordance    naturally    argumentation    training    transversal    prominent    acquire    visualization    leverage    trained    11    expert    designing    pyramid    humans    according    building    patents    social    tools    worthy    natural    explainable    decision    paradox    academy    laws   

Project "NL4XAI" data sheet

The following table provides information about the project.

Coordinator
UNIVERSIDAD DE SANTIAGO DE COMPOSTELA 

Organization address
address: COLEXIO DE SAN XEROME PRAZA DO OBRADOIRO S/N
city: SANTIAGO DE COMPOSTELA
postcode: 15782
website: http://www.usc.es

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Spain [ES]
 Total cost 2˙843˙888 €
 EC max contribution 2˙843˙888 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2019
 Funding Scheme MSCA-ITN-ETN
 Starting year 2019
 Duration (year-month-day) from 2019-10-01   to  2023-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSIDAD DE SANTIAGO DE COMPOSTELA ES (SANTIAGO DE COMPOSTELA) coordinator 501˙809.00
2    THE UNIVERSITY COURT OF THE UNIVERSITY OF ABERDEEN UK (ABERDEEN) participant 303˙172.00
3    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) participant 274˙802.00
4    TECHNISCHE UNIVERSITEIT DELFT NL (DELFT) participant 265˙619.00
5    UNIVERSITEIT TWENTE NL (ENSCHEDE) participant 265˙619.00
6    UNIVERSITEIT UTRECHT NL (UTRECHT) participant 265˙619.00
7    AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS ES (MADRID) participant 250˙904.00
8    INDRA SOLUCIONES TECNOLOGIAS DE LA INFORMACION SL ES (ALCOBENDAS - (MADRID)) participant 250˙904.00
9    UNIVERSITA TA MALTA MT (MSIDA) participant 237˙955.00
10    POLITECHNIKA WARSZAWSKA PL (WARSZAWA) participant 227˙478.00
11    INSTYTUT FILOZOFII I SOCJOLOGII POLSKIEJ AKADEMII NAUK PL (WARSZAWA) participant 0.00

Map

 Project objective

According to Polanyi's paradox, humans know more than they can explain, mainly due to the huge amount of implicit knowledge they unconsciously acquire trough culture, heritage, etc. The same applies for Artificial Intelligence (AI) systems mainly learnt automatically from data. However, in accordance with EU laws, humans have a right to explanation of decisions affecting them, no matter who (or what AI system) makes such decision. NL4XAI will train 11 creative, entrepreneurial and innovative early-stage researchers (ESRs), who will face the challenge of making AI self-explanatory and thus contributing to translate knowledge into products and services for economic and social benefit, with the support of Explainable AI (XAI) systems. Moreover, the focus of NL4XAI is in the automatic generation of interactive explanations in natural language (NL), as humans naturally do, and as a complement to visualization tools. As a result, ESRs are expected to leverage the usage of AI models and techniques even by non-expert users. Namely, all their developments will be validated by humans in specific use cases, and main outcomes publicly reported and integrated into a common open source software framework for XAI that will be accessible to all the European citizens. In addition, those results to be exploited commercially will be protected through licenses or patents. It is worthy to note that we have selected some of the most prominent European researchers (from both academy and industry) in each of the related fundamental topics and created a joint high quality training program that can be seen as a pyramid with the main research objective (designing and building XAI models) on top. It will be achieved as result of jointly addressing the research objectives in the pyramid base (NL generation and processing for XAI; Argumentation Technology for XAI; Interactive Interfaces for XAI). ESRs are also to be trained in Ethical and Legal issues, as well as in transversal skills.

 Deliverables

List of deliverables.
Recruitment strategy and call Other 2020-03-06 14:39:45
NL4XAI website and social media profiles available Websites, patent fillings, videos etc. 2020-02-13 12:41:21
Supervisory Board of the network Other 2020-02-13 12:41:21

Take a look to the deliverables list in detail:  detailed list of NL4XAI deliverables.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "NL4XAI" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "NL4XAI" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.1.)

i-CONN (2019)

Interdisciplinary connectivity: Understanding and managing complex systems using connectivity science

Read More  

BIGMATH (2018)

Big Data Challenges for Mathematics

Read More  

DESIGN-EID (2020)

Defect Simulation and Material Growth of III-V Nanostructures- European Industrial Doctorate Program

Read More