Preventing Miscarriage of Justice Using Artificial Intelligence in Pakistan
A miscarriage of justice is considered a situation when an incorrect decision has been made in a trial, and a guilty person is sentenced and punished. This is a very common problem in the criminal justice system of Pakistan, which has not been rectified for a very long time. In spite of measures being taken in the quest to eliminate such occurrences, miscarriages of justice are apparent for various causes, including wrong eyewitness identification, tainted confessions and inadequate counsel. The failure of justice is a denial of rights as well as the offenders to justice compartments the system's credibility. In recent years, with the aid of stiff progress in artificial intelligence (AI), it seems probable that miscarriages of justice can be reduced by accurately and efficiently facilitating criminal justice. Hence, this research adopts a doctrinal method to analyze the factual position of the miscarriage of justice system in Pakistan. This work will be very useful in dealing with the problem of miscarriage of justice in Pakistan. Therefore, it can be claimed that by defining the causal factors of wrongful convictions and providing specific recommendations, this study may help build a more efficient and just criminal justice system in Pakistan.
Authors
- Sardar Ali Shah (ORCID: https://orcid.org/0000-0003-4443-2967)
- Sajjad Ali Jamali
- Abdul REHMAN Bhatti
- Amir Latif Bhatti
Institutions
- University of Sindh (PK)
- Shah Abdul Latif University (PK)
- Ziauddin University (PK)
Publication Details
- Journal
- Qlantic journal of social sciences.
- Published
- 2024-09-30
- DOI
- https://doi.org/10.55737/qjss.921501516
- Citations
- 1
- Primary Topic
- Legal, Health, Environmental and COVID-19 Challenges
- Type
- article
- Field-Weighted Citation Impact
- 0.54