Toward AI Systems That Augment and Empower Humans by Understanding Us, our Society and the World Around Us

Informazioni relative al progetto

Humane AI

ID dell’accordo di sovvenzione: 820437

DOI

10.3030/820437

Progetto chiuso

Data della firma CE 18 Febbraio 2019

Data di avvio 1 Marzo 2019

Data di completamento 30 Aprile 2020

Finanziato da

• EXCELLENT SCIENCE - Future and Emerging Technologies (FET)

Costo totale

€ 999 250,00

Contributo UE

€ 999 250,00

Coordinato da

DEUTSCHES FORSCHUNGSZENTRUM FUR KUNSTLICHE INTELLIGENZ GMBH
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (11)

HumanE AI research vision input to the Horizon Europe Program

Presents a plan for embedding the suggested initiative in the upcoming European initiative.

Exploitation and dissemination report

Exploitation and dissemination report.

HumanE AI vision put down in a pubished article collection (book or journal special issue)

The publishable articles stemming from the vision workshops.

Final project report

Final project report.

Organizational concepts and legal frameworks for European large-scale bottom-up AI initiatives with input to Horizon Europe planning

This deliverable presents organizational concepts and legal frameworks for European large-scale bottom-up AI initiatives with input to Horizone Europe planning.

HumanE AI vision and framework of ethical, value oriented AI

This is a master report of the HumanE AI vision's framework of ethical, value oriented AI.

Exploitation and dissemination plan

Exploitation and dissemination plan.

Intermediate project report

Intermediate project report.

Concept for maximizing the socio-economic impact of large scale bottom-up AI research initiatives synchronized with Horizon Europe strategy
Wrap-up of the Humane AI vision from an organizational point of view
Initial concept for maximizing the socio-economic impact of large scale bottom up AI research initiatives

Initial concept for maximizing the socio-economic impact of large scale bottom up AI research initiatives.

Other (3)

Large scale dissemination event

A large scale dissemination event held.

Research vision workshops including publication drafts

This deliverable consists of workshops held and he publication drafts stemming from them. Contributing WPs are WP3 and WP4.

Stakeholder workshop

Stakeholder workshop held.

Websites, patent fillings, videos etc. (4)

Communities platform II.

Second version of HumanE AI communities platform.

Communities platform I.

First version of HumanE AI communities platform.

Multimedia package I.

This is the first version of HumanE AI Multimedia package.

Multimedia package II.

This is the second version of HumanE AI Multimedia package

Open Research Data Pilot (1)

Open Research Data Pilot

The content will be appropriate, negotiated with the PO. We have no experience with delivarable(s) of this type.

Pubblicazioni

Peer reviewed articles (2)

Meaningful Explanations of Black Box AI Decision Systems

Autori: Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini
Pubblicato in: Proceedings of the AAAI Conference on Artificial Intelligence, Numero 33, 2019, Pagina/e 9780-9784, ISSN 2374-3468
Editore: AAAI - Association for the Advancement of Artificial Intelligence
DOI: 10.1609/aaai.v33i01.33019780

Factual and Counterfactual Explanations for Black Box Decision Making

Autori: Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Salvatore Ruggieri, Franco Turini
Pubblicato in: IEEE Intelligent Systems, Numero 34/6, 2019, Pagina/e 14-23, ISSN 1541-1672
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/mis.2019.2957223

Other (2)

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment

Autori: Mirco Nanni, Gennady Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, Janos Kertesz, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez
Pubblicato in: 2020
Editore: n/a

Artificial intelligence (ai): new developments and innovations applied to e-commerce

Autori: Dino Pedreschi
Pubblicato in: 2020
Editore: European Pariiament

Conference proceedings (3)

The European Language Technology Landscape in 2020: Language-Centric and Human-Centric AI for Cross-Cultural Communication in Multilingual Europe

Autori: Georg Rehm, Katrin Marheinecke, Stefanie Hegele, Stelios Piperidis, Kalina Bontcheva, Jan Hajic, Khalid Choukri, Andrejs Vasiļjevs, Gerhard Backfried, Christoph Prinz, José Manuel Gómez Pérez, Luc Meertens, Paul Lukowicz, Josef van Genabith, Andrea Lösch, Philipp Slusallek, Morten Irgens, Patrick Gatellier, Joachim Köhler, Laure Le Bars, Dimitra Anastasiou, Albina Auksoriūtė, Núria Bel, A
Pubblicato in: Proceedings of the 12th Language Resources and Evaluation Conference (LREC 2020), 2020
Editore: European Language Resources Association (ELRA).

Towards an Integrative Educational Recommender for Lifelong Learners

Autori: S. Bulathwela, M. Perez-Ortiz, E. Yilmaz and J. Shawe-Taylor
Pubblicato in: Proc. 2020 AAAI Conference on Artificial Intelligence, 2020
Editore: Association for the Advancement of Artificial Intelligence

SUM'20: State-based User Modelling

Autori: Sahan Bulathwela, María Pérez-Ortiz, Rishabh Mehrotra, Davor Orlic, Colin de la Higuera, John Shawe-Taylor, Emine Yilmaz
Pubblicato in: Proceedings of the 13th International Conference on Web Search and Data Mining, 2020, Pagina/e 899-900, ISBN 9781-450368223
Editore: ACM
DOI: 10.1145/3336191.3371883

Non-peer reviewed articles (1)

The Challenge of Human Centric AI

Autori: Paul Lukowicz
Pubblicato in: Digitale Welt, Numero 3/4, 2019, Pagina/e 9-10, ISSN 2569-1996
Editore: Mildenberger Verlag
DOI: 10.1007/s42354-019-0200-0