Work

Fairness and parameter importance in logistic regression models of criminal sentencing data

Year: 2020

Type: dissertation

Abstract: Fairness and parameter importance in logistic regression models of criminal sentencing data

Source: KTH Publication Database DiVA (KTH Royal Institute of Technology)

Author: Martina Kaponen

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

OpenAlex ID: W3080479272

Cites: 10

Cited by: 1

Related to: 10