DC-Mentoring IV: Explainable and Trustworthy AI

Chairs: Pedro Meseguer and Ulises Cortés

This track is devoted to Explainable and Trustworthy AI. The session includes the next 8 discussion slots:

Structures and infrastructures around AI: unbiasedness, politics and metrics in data-driven socio-technical systems

Gunay Kazimzade

Accountability and control over autonomous weapon systems: aframework for comprehensive human oversight

Ilse Verdiesen

Explainable AI for intelligent decision support in operations and maintenance of wind turbines

Joyjit Chatterjee

OBOE: an explainable text classification framework

Raúl Antonio del Águila Escobar

Understandable deep learning analysis for very high energy astroparticle physics

Ettore Mariotti

Explaining Bayesian networks in natural language

Conor Hennessy

Argumentation-based interactive factual and counterfactual explanation generation

Ilia Stepin

Age-related individual differences and their implications for the design of cognitive interactive systems

Lucas Morillo-Méndez

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