Using AI to prevent suicide in First Nations communities

asiadmin | September 30, 2021  | Article, Social Science | No Comments

Suicide prevention is the focus of ASI’s corporate social responsibility project. In association with the Canadian Association for Suicide Prevention and the Tsuut’ina Mental Health program, Advanced Symbolics’ research has helped identify differentiating factors among those at risk of suicide versus those with strong mental health.

The research, carried out by ASI AI researchers, community workers and psychology consultants in collaboration with the Canadian Association for Suicide Prevention (CASP), uses social media to identify at-risk users among a sample of 270,000 individuals, correlating language use and context. All information is anonymized before study and uses only publicly available data.

Suicide prevention poster

ASI’s next step is to use the data collected to train an Artificial Intelligence (AI) machine learning model that can learn from these findings and make predictions on risk level of suicide for the entire population in a region or community. Once we have a prediction AI, we can track which regions are showing higher signs of “at-risk” rates and why, so that resources can be deployed to provide timely help. For Indigenous communities, when we start to see risk factors start to align, relevant resources can be allocated and local support groups notified.

ASI works with other public health agencies to identify and provide assistance with suicide prevention. For information about this and other research projects, please contact us using the Contact button at the top of the page.

If you are feeling suicidal, thinking about hurting yourself, or are concerned that someone you know may be in danger of hurting himself or herself, call the language-appropriate hotline:

English or French: 1-833-456-4566
Cree, Ojibway, Inuktitut (on request): 1-855-242-3310


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