Contextualised Actionable Explications ((12) A06*)

• Subject Area: Social Psychology, Industrial and Organisational Psychology ; Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
• Term: since 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 389792660

A crucial step towards perspicuity of data-driven AI systems is to improve our understanding of why such a system acts the way it does. In this regard, counterfactual explications are promising. Yet, they may not enable human stakeholders to act upon resulting explanations, nor do they address stakeholders' contextual needs. In Project A6 we aim to move from counterfactual explications to contextualised actionable explications. We develop the mathematical foundations of actionable explications for machine learning algorithms: explications that uncover decision-relevant reasons that are feasible for humans to act upon. In empirical studies, we test and improve our approach with respect to the usefulness of resulting explanations from the perspective of different stakeholders.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 248: Foundations of Perspicuous Software Systems - Enabling Comprehension in a Cyber-Physical World
• Applicant Institution: Universität des Saarlandes
• Project Heads: Professor Dr. Markus Langer; Professorin Dr. Isabel Valera