by Keycrime Press Office

Brad Hathaway, de KeyCrime, adoptó un enfoque práctico de #ResponsibleAI en su charla el 10 de diciembre de 2021 en el centro remoto del Consejo Internacional de Seguridad y Digital de Polonia del Foro de Gobernanza de Internet en Roma. El intercambio con Avv. Benvegnù, especialmente durante la pregunta y la respuesta al final fue estimulante. (Articulo in ingles)

Facts are the basis of criminal investigations. Facts lead to clues and clues lead to connections and, with time, enough connections and the finely tuned mind of an experienced investigator turns those connections into cleared cases. In computing terms, facts are data. But not all data is created equal in terms of «analyzability», especially when it comes to being usable for crime analysis. Most crime data is created and archived in police IT systems in the form of video, free form text, images and audio. This is all, of course, usable data for analysis and comparison – if you’re a human investigator. If you’re a computer algorithm, though, either a human needs to «translate» this data into the granular, detailed data that analysis algorithms require or … we can get the computers to do it. This talk explores where we are, where we need to be, how to get from point A to point B and the ramifications of applying Machine Learning techniques to data in the context of public safety. The talk also acts as a call to action to police investigative units everywhere to start considering the problem and work together to imagine the solution!