Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial intelligence and forensic mental health in Africa: a narrative review
8
Zitationen
4
Autoren
2024
Jahr
Abstract
This narrative review examines the integration of Artificial Intelligence (AI) tools into forensic psychiatry in Africa, highlighting possible opportunities and challenges. Specifically, AI may have the potential to augment screening in prisons, risk assessment/management, and forensic-psychiatric treatment, alongside offering benefits for training and research purposes. These use-cases may be particularly advantageous in contexts of forensic practice in Africa, where there remains a need for capacity building and service improvements in jurisdictions affected by distinctive sociolegal and socioeconomic challenges. However, AI can also entail ethical risks associated with misinformation, privacy concerns, and an overreliance on automated systems that need to be considered within implementation and policy planning. Equally, the political and regulatory backdrop surrounding AI in countries in Africa needs to be carefully scrutinised (and, where necessary, strengthened). Accordingly, this review calls for rigorous feasibility studies and the development of training programmes to ensure the effective application of AI in enhancing forensic-psychiatric services in Africa.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.231 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.084 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.444 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.423 Zit.