Home
iSee
About

Timeline
Consortium
Partners

Team
Blog
News

Questions

iSee Events

External Events

iSee Publication

Related publications
Use Cases
Engage
ICCBR XCBR Workshop

KES-RAW-2021

Tommy Flowers Network AI Conference

Industry Questionnaire
Contact

Related publications

Category:

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

31 August 2021 A right to explanation Read More

20 July 2021 XAI in management sciences Read More

5 July 2021 workshop on interpretable pervasive systems Read More

5 July 2021 Explanation evaluation and ontology Read More

31 May 2021 User perception of AI results (prediction or explanation) Read More

31 May 2021 A User-Centric Evaluation to Generate Case-Based Explanations Using Formal Concept Analysis Read More

15 March 2021 Developing a catalogue of explainability methods to support expert and non-expert users. Read More

15 March 2021 The Need to Empirically Evaluate Explanation Quality Read More

Recent Posts

iSee work on Discovering counterfactual explanation got recognised at ICTAI 2021
NICE: An Algorithm for Nearest Instance Counterfactual Explanations
Warns of pitfalls of model-agnostic approaches to XAI.
XAI prototyping framework EUCA
iSee has a new LinkedIn profile

Tags

AI Ethics CBR co-creation counterfactuals engagement HowTo human-aware AI ICCBR Interpretability Ontology Open science paper use case requirement video 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

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