Ethics and trustworthiness of ai for predicting the risk of recidivism: A systematic literature review

MM Farayola, I Tal, R Connolly, T Saber… - Information, 2023 - mdpi.com
Artificial Intelligence (AI) can be very beneficial in the criminal justice system for predicting
the risk of recidivism. AI provides unrivalled high computing power, speed, and accuracy; all …

Fairness of AI in Predicting the Risk of Recidivism: Review and Phase Mapping of AI Fairness Techniques

MM Farayola, I Tal, B Malika, T Saber… - Proceedings of the 18th …, 2023 - dl.acm.org
Artificial Intelligence (AI) is applied in almost every public sector because of its positive
impacts. However, AI's ethical aspects and trustworthiness constitute a significant uproar …

Can predictive algorithms assist decision‐making in social work with children and families?

P Gillingham - Child abuse review, 2019 - Wiley Online Library
Decision support systems (DSS) which incorporate algorithms trained using administrative
data have been promoted as the next promising development in initiatives to improve and …

Using decision trees and random forest algorithms to predict and determine factors contributing to first-year university students' learning performance

TT Huynh-Cam, LS Chen, H Le - Algorithms, 2021 - mdpi.com
First-year students' learning performance has received much attention in educational
practice and theory. Previous works used some variables, which should be obtained during …

Building prediction models and discovering important factors of health insurance fraud using machine learning methods

V Nalluri, JR Chang, LS Chen, JC Chen - Journal of Ambient Intelligence …, 2023 - Springer
Health insurance fraud accounts for 3–10% of total medical expenditures every year. If the
growth of fraud activities is allowed, it will cause irreversible consequences to the medical …

Decision support systems, social justice and algorithmic accountability in social work: A new challenge

P Gillingham - Practice, 2019 - Taylor & Francis
Social work, health, education, income support and criminal justice departments have,
through the adoption of electronic information systems, amassed an enormous amount of …

Dataism versus relationshipism: A social work perspective

J Devlieghere, P Gillingham… - Nordic Social Work …, 2022 - Taylor & Francis
The term 'dataism'has been used to identify an emerging ideology, which posits that big
data, incorporating new ways to collect, collate and analyse data about human activity, will …

The development of algorithmically based decision-making systems in children's protective services: Is administrative data good enough?

P Gillingham - The British Journal of Social Work, 2020 - academic.oup.com
Big data techniques are being used in children's protective services to develop
algorithmically based decision support systems (DSSs) to identify the most vulnerable …

Harnessing machine learning in tackling domestic Violence—An integrative review

V Hui, RE Constantino, YJ Lee - International journal of environmental …, 2023 - mdpi.com
Domestic violence (DV) is a public health crisis that threatens both the mental and physical
health of people. With the unprecedented surge in data available on the internet and …

Development of risk assessment framework for first time offenders using ensemble learning

A Singh, S Mohapatra - IEEE Access, 2021 - ieeexplore.ieee.org
Recidivism is generally considered as a deficiency disease in which offenders recommend a
crime or repeat an offence. Empirically committing the first crime at a very young age leads …