Transparency in Algorithmic Decision-making: Interpretable Models for Ethical Accountability

• Published in: E3S web of conferences Vol. 491; p. 2041
• Main Authors: Raja Kumar, Jambi Ratna, Kalnawat, Aarti, Pawar, Avinash M., Jadhav, Varsha D., Srilatha, P., Khetani, Vinit
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Les Ulis EDP Sciences 01.01.2024
• Subjects: Algorithms; Decision making; ethical accountability; Ethics; Judicial system; Learning algorithms; Machine learning; Opacity; rule based system
• ISSN: 2267-1242; 2555-0403; 2267-1242
• DOI: 10.1051/e3sconf/202449102041

Concerns regarding their opacity and potential ethical ramifications have been raised by the spread of algorithmic decisionmaking systems across a variety of fields. By promoting the use of interpretable machine learning models, this research addresses the critical requirement for openness and moral...