Spain has become reliant on an algorithm to score how likely a domestic violence victim may be abused again and what protection to provide — sometimes leading to fatal consequences.
i could say a lot in response to your comment about the benefits and shortcomings of algorithms (or put another way, screening tools or assessments), but i’m tired.
i am exceedingly troubled that something which is commonly regarded as indicating very high risk when working with victims of domestic violence was ignored in the cited case (disclaimer - i haven’t read the article). if the algorithm fails to consider history of strangulation, it’s garbage. if the user of the algorithm did not include that information (and it was disclosed to them), or keyed it incorrectly, they made an egregious error or omission.
i suppose, without getting into it, i would add - 35 questions (ie established statistical risk factors) is a good amount. large categories are fine. no screening tool is totally accurate, because we can’t predict the future or have total and complete understanding of complex situations. tools are only useful to people trained to use them and with accurate data and inputs. screening tools and algorithms must find a balance between accurate capture and avoiding false positives.
i could say a lot in response to your comment about the benefits and shortcomings of algorithms (or put another way, screening tools or assessments), but i’m tired.
i will just point out this, for anyone reading.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2573025/
i am exceedingly troubled that something which is commonly regarded as indicating very high risk when working with victims of domestic violence was ignored in the cited case (disclaimer - i haven’t read the article). if the algorithm fails to consider history of strangulation, it’s garbage. if the user of the algorithm did not include that information (and it was disclosed to them), or keyed it incorrectly, they made an egregious error or omission.
i suppose, without getting into it, i would add - 35 questions (ie established statistical risk factors) is a good amount. large categories are fine. no screening tool is totally accurate, because we can’t predict the future or have total and complete understanding of complex situations. tools are only useful to people trained to use them and with accurate data and inputs. screening tools and algorithms must find a balance between accurate capture and avoiding false positives.