The project, started when Rishi Altar was still prime ministerwill be using crime data from various sources to identify people most likely to commit murder.
The UK government is developing a “homicide forecasting” program in form a Identify people most likely to kill someone.
O that the investigators in charge of the system development are using several algorithms to analyze information from thousands of people and later identify those that may commit violent crimes.
A who discovered that the British executive is working on this project, informs that Data from people who were not convicted of any criminal offense will be used, including personal information on self -mutilation and details related to domestic violence.
OS fGovernment joints are denying this information, insisting that only data on people with at least one criminal conviction were used.
This program “will provide elements to improve the risk assessment of serious crimes and contribute to protecting the public through better analysis,” an executive spokesman told British newspaper.
Project only “For research purposes”
The project, started when Rishi Altar was still Prime Minister of the United Kingdom, will be using data on crime from various sources, including the social reintegration service and the Manchester police.
Among the information collected stands out names, dates of birth, ethnicity and gender. Data on mental health, dependence, suicide and disability will also be analyzed by the authorities.
Source of the United Kingdom Ministry of Justice tells the The Guardian what The project is being developed only “for research purposes”:
“It was conceived based on the data doprisons and police forces on convicted delinquents, to help us better understand the risk of conditional freedom to commit atos of serious violence. A report will be published at the same time. “
The British authoritiesguarantee that several state services, such as state and social reintegration services, already use risk assessment tools and that the new program It only intends to improve this same assessment.
