Assessing Transparency, Fairness, and Accountability in AI-Based Systems: Examining the Implications of AI Algorithms and Machine Learning Models in Legal Decision-Making
dc.contributor.author | Ukwatte, GR | |
dc.contributor.author | Perera, BN | |
dc.contributor.author | Samaranayake, TV | |
dc.date.accessioned | 2025-01-09T09:44:33Z | |
dc.date.available | 2025-01-09T09:44:33Z | |
dc.date.issued | 2024-09 | |
dc.identifier.uri | http://ir.kdu.ac.lk/handle/345/7790 | |
dc.language.iso | en | en_US |
dc.subject | Artificial intelligence | en_US |
dc.subject | Transparency | en_US |
dc.subject | Accountability | en_US |
dc.subject | Human factor | en_US |
dc.title | Assessing Transparency, Fairness, and Accountability in AI-Based Systems: Examining the Implications of AI Algorithms and Machine Learning Models in Legal Decision-Making | en_US |
dc.type | Article Abstract | en_US |
dc.identifier.faculty | Faculty of Criminal Justice | en_US |
dc.identifier.journal | 17th International Research Conference-2024 (KDU-IRC) | en_US |
dc.identifier.pgnos | 2 | en_US |