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First Online: 17 September 2023

Ethical Issues

: Machine learning models have become increasingly ubiquitous in decision-making processes across various industries, especially financial fraud detection ones. However, the ethical implications of these models have come under scrutiny due to the potential for bias. Focusing on our work, if the base models are biased, any approach built upon them may also be biased. This is especially concerning when the models are used in sensitive areas such as fraud detection. On the other hand, since we do not explicitly exploit transaction features, we may not introduce further bias directly. However, it is important to note that the data used to train the models may still contain hidden biases that could influence the model’s predictions. Therefore, it is essential to ensure that the data sets used to train the models are diverse and representative of the population to minimize bias and prevent harm to vulnerable groups, as stated by the guidelines by the EU on AI methods ().

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.