No matter how expansive and intricate surveillance systems becomes, more data won't save us.
, hardly good indicators of real life. At some point, macabre as it sounds, it’s conceivable that these companies would train their systems on data from real-world shootings. Yet, even if footage from real incidents did become available , the models would still fail to accurately predict the next tragedy based on previous ones. Uvalde was different from Parkland, which was different from Sandy Hook, which was different from Columbine.
Technologies that offer predictions about intent or motivations are making a statistical bet on the probability of a given future based on what will always be incomplete and contextless data, no matter its source. The basic assumption when using a machine-learning model is that there is a pattern to be identified; in this case, that there’s some “normal” behavior that shooters exhibit at the scene of the crime. But finding such a pattern is unlikely.
Not only are these technologies incapable of preventing our worst nightmares, their presence is actively moving us toward a dystopian one.
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