Document is current

Chapter History

First Online: 17 September 2023

Ethical Statement

: High-stake applications like healthcare, criminal records empowered by deep learning raise people’s concern about algorithms’ liability, fairness, and interpretability. Our method can help build a fair, trustworthy and explainable community by seeking the reason behind machine learning predictions. Sometimes, the system may predict upon discrimination without realizing it (such as the COMPAS algorithm). Examining into each feature’s contribution to the outcome provides a possibility of avoid learning with bias. Our method is useful especially in high dimensional datasets, such as some medical tabular records. Hence, our paper has an important impact on ethical machine learning. Yet, we emphasize that interpretable machine learning does not automatically guarantee its trustworthiness: it can still make mistakes and bias towards certain group, even though it can explain why it does so.

Conference Information

Conference Acronym: ECML PKDD

Conference Name: Joint European Conference on Machine Learning and Knowledge Discovery in Databases

Conference City: Turin

Conference Country: Italy

Conference Year: 2023

Conference Start Date: 18 September 2023

Conference End Date: 22 September 2023

Conference Number: 23

Conference ID: ecml2023

Conference URL: https://2023.ecmlpkdd.org/

Peer Review Information (provided by the conference organizers)

Type: Double-blind

Conference Management System: CMT

Number of Submissions Sent for Review: 829

Number of Full Papers Accepted: 196

Number of Short Papers Accepted: 0

Acceptance Rate of Full Papers: 24% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.

Average Number of Reviews per Paper: 3.63

Average Number of Papers per Reviewer: 4.5

External Reviewers Involved: Yes

Additional Info on Review Process: Applied Data Science Track: 239 submissions, 58 accepted papers; Demo Track: 31 submissions, 16 accepted papers.