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6 December 2021 Special Issue of Electronics on AI for cyber security 31 March 2022 Read More

30 November 2021 inclusive XAI, actionable XAI, and responsible XAI… Read More

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

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Save the date 13th December ! XAI workshop at SGAI 2022 conference in Cambridge
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CFP: 4th WORKSHOP ON CASE-BASED REASONING FOR THE EXPLANATION OF INTELLIGENT SYSTEMS
XAI XCBR CHALLENGE 2022 is open !
Closing talk of the Digital Week in AAAI-MX Mexico Lab

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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

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