Counterfactual explanations and algorithmic recourses for machine learning: A review

S Verma, V Boonsanong, M Hoang, K Hines… - ACM Computing …, 2024 - dl.acm.org
Machine learning plays a role in many deployed decision systems, often in ways that are
difficult or impossible to understand by human stakeholders. Explaining, in a human …

AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases

G Ganapavarapu, S Mukherjee, N Martinez Gil… - Proceedings of the 29th …, 2023 - dl.acm.org
With the growing adoption of AI, trust and explainability have become critical which has
attracted a lot of research attention over the past decade and has led to the development of …

Counterfactual and Prototypical Explanations for Tabular Data via Interpretable Latent Space

S Piaggesi, F Bodria, R Guidotti, F Giannotti… - IEEE …, 2024 - ieeexplore.ieee.org
Artificial Intelligence decision-making systems have dramatically increased their predictive
power in recent years, beating humans in many different specific tasks. However, with …