Workshop on Intelligent Decision and Recommender Systems (WIDRS)

Abstract

Based on the success of the special session on Explainability and Fairness in Decision Support on IDEAL 2024, this year we aim to start with a satellite workshop series on Intelligent Decision and Recommender Systems, associated to IDEAL conference, and focused on our topics of our former special session. This year our running topic will be: “Toward Fair, Transparent, and Human-Centered Decision Support, under the umbrella of Intelligent Data Engineering and Automated Learning”.

Explainability in decision support and recommender systems is essential for fostering trust and transparency in algorithmic/AI-driven decision processes. By making complex models understandable, users can see the rationale behind decisions, ensuring accountability and facilitating better-informed choices. This is particularly crucial in high-stakes areas like healthcare, finance, and criminal justice, where the consequences of decisions can significantly impact individuals and society. Explainability also aids in identifying and mitigating biases within models, promoting fairness and ethical AI use. Overall, enhancing explainability helps bridge the gap between advanced technology and human users, ensuring that decision support systems are both effective and reliable.

In a different direction, fairness in decision support systems ensures that algorithmic/AI-driven decisions do not perpetuate or amplify biases, promoting equality and justice. It involves developing and implementing algorithms that treat all individuals and groups equitably, especially those from historically marginalized communities. Ensuring fairness is very important in sectors like hiring, lending, and law enforcement, where biased decisions can have severe social and economic consequences. Addressing fairness involves continuous monitoring, bias detection, and corrective measures, creating systems that not only perform well but also uphold ethical standards and societal values, fostering trust and legitimacy in automated decision-making processes.

Topics

Topics of interest include but are not limited to:

  • Innovative algorithms and techniques for boosting transparency and explainability in decision support systems.
  • New approaches for characterizing and improving fairness in decision support.
  • Human-in-the-loop approaches for explainability and fairness.
  • Explainability and fairness in recommender systems.
  • Human-centered explainable artificial intelligence: approaches, methodologies, and evaluation.
  • Novel approaches and methodologies for recommender systems and intelligent decision making.
  • Real-world applications.

Organizers

Luis Martínez. University of Jaén, Spain.
Bapi Dutta. University of Jaén, Spain.
Raciel Yera. University of Jaén, Spain.
Dikshit Chauhan. National University of Singapore.

Submission

See submission instructions for the conference at the call for papers. At the beginning of the submission, please choose the track “Workshop on Intelligent Decision and Recommender Systems (WIDRS)”.

Submission link: https://easychair.org/conferences/?conf=ideal2025

Special Session Papers Submission Deadline: June 15th, 2025