PhD position conversational XAI methods for healthcare

☞ KU Leuven

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Giorno di aggiornamento: 04-11-2025

Località: Leuven Flemish Brabant

Categoria: Risorse umane

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Contenuto del lavoro

The Augment group is one of the research groups in the Human-Computer Interaction section of the Department of Computer Science of KU Leuven. Research in the Augment group focuses on Human-Centered AI, an emerging discipline that aims to amplify and augment human abilities and preserve human control in order to make AI systems more productive, enjoyable, and fair. The objective is to enable end-users to understand the rationale of AI models and to enable them to steer models with input and feedback. The approach is researched to increase appropriate trust, acceptance and accuracy of models and to empower users to be an active and responsive part-taker in data-driven solutions. The focus is on visualisation and interaction techniques, using the full spectrum of hardware from small mobile devices to large multi-touch displays. Applications include learning analytics, precision agriculture, healthcare, media consumption, digital humanities, food & nutrition, fintech and human resources.
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Project

We have an open PhD position (fully funded) in Explainable AI.


Despite the rich set of XAI methods that have been proposed to justify the outcome of AI models in healthcare applications, many open challenges remain: most of these efforts are focused on algorithm developers rather than healthcare professionals, who often have little or no knowledge of AI models. The majority of the XAI systems also rely on complex visual representations of models and their features. In addition, the vast majority of the applications of XAI are focused on providing low-level "narrow" explanations of how an individual decision was reached and provide insufficient insight into the reasoning of models and the explanatory depth that people require to accept and trust the decision-making of the model. In this project, we will research the following objectives to address these challenges: first, we will research how conversational explanation methods able to provide insight into model beliefs and reasoning with natural language can be used as opposed to complex visual representations. Second, we will research how these explanations can be enriched to provide more general, broader, explanations with sufficient meaning. Third, we will research how such interfaces can be adapted on the fly to different personal characteristics. The overall objective is to come up with a generic framework for enriched conversational explanation methods that meet the communication needs of healthcare professionals.

Profile

We expect from applicants:

  • an excellent Master degree in Computer Science or related discipline
  • strong programming skills
  • the ability to do independent research
  • a good background and interest in human-computer interaction research
  • strong commitment and the ability to work in a team
  • a high level of proficiency in English, both spoken and written.

Offer

Funding is available immediately. The research will be carried out at the Department of Computer Science of KU Leuven, campus Heverlee.




Interested?

Interested applicants should send their:
  • CV
- letter of application-
  • transcripts of bachelor and master degrees

by the online application tool below.


For more information please contact Prof. dr. Katrien Verbert, mail: katrien.verbert@kuleuven.be.
You can apply for this job no later than June 10, 2023 via the online application tool
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.
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Scadenza: 19-12-2025

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