logo logo
logo logo
  • Home
  • iSee
    • About
    • Timeline
    • Project
    • Publications
  • Consortium
    • Partners
    • Team
  • Blog
    • News
    • Questions
    • iSee Events
    • External Events
    • iSee Publication
    • Related publications
  • Use Cases
  • Engage
    • KES-RAW-2021
    • Tommy Flowers Network
    • Industry Questionnaire
    • XCBR Workshop 2022
    • XCBR Challenge 2022
  • Contact

August 2021


Category:
  • All Categories
  • Blog
    • Thoughts
  • External Events
  • iSee Events
  • iSee Publication
  • iSee use case
  • News
  • Non classé
  • Questions
  • Related publications
  • XAI reading group

31 August 2021 iSee has a new LinkedIn profile Read More
31 August 2021 A right to explanation Read More
31 August 2021 New page on iSee web site to ENGAGE Read More
31 August 2021 iSee teamed up with TFNetwork Autumn21 Conference on “Data Science – The beating heart of AI” Read More
31 August 2021 Join ICCBR 2021 for free and participate to XCBR workshop with iSee team ! Read More
Recent Posts
  • iSee will be present at IUI’23 ACM conference
  • NEW video of iSee cockpit demo !
  • Panel Session on Explainability 14th December22
  • new Explainer
  • Integrating new Explainer in iSee catalog
Tags
AI Ethics AI Ethics and open resources data CBR co-creation cockpit conference counterfactuals Cybersecurity dissemination engagement ethical Explainer HowTo human-aware AI ICCBR Interpretability Ontology Open science paper reusability use case requirement video workshop XAI XAI for health XAI for management XE evaluation
Categories
  • Blog
  • External Events
  • iSee Events
  • iSee Publication
  • iSee use case
  • News
  • Non classé
  • Questions
  • Related publications
  • Thoughts
  • XAI reading group
Archives
  • February 2023
  • January 2023
  • November 2022
  • August 2022
  • July 2022
  • May 2022
  • April 2022
  • March 2022
  • February 2022
  • December 2021
  • November 2021
  • October 2021
  • September 2021
  • August 2021
  • July 2021
  • June 2021
  • May 2021
  • April 2021
  • March 2021
Funding

This project has received funding from the CHIST-ERA funding call on Explainable Machine Learning-based Artificial Intelligence (XAI) in 2019.  CHIST-ERA is a pathfinder programme for European coordinated research on future and emerging information and communication technologies.

 



iSee Facts
  • Project Coordinator: Belén Díaz-Agudo
  • Duration: 36 months (March 2021 – March 2024)
  • Funding support: 846,318 €
  • Funding Organisations:
    • Spain: State Research Agency (AEI)
    • UK: Engineering and Physical Sciences Research Council (EPSRC)
    • France: French National Research Agency (ANR)
    • Ireland: Irish Research Council (IRC)

 

Contact Us

Email: hello@isee4xai.com

Professor M Belen Díaz Agudo
Instituto de Tecnología del Conocimiento,
Facultad de Informática,
Universidad Complutense de Madrid
C/ Profesor Jose Garcia Santesmases, 9
Ciudad Universitaria
28040 – Madrid
Spain

© iSee4XAI, All rights reserved. 2021