Rostec anti-riot software uses machine learning to prevent mass unrest


Based on a draft methodology from Russia's Emergency Situations Ministry, Kommersant business daily reports that Rostec's data subsidiary, Natsionalny Tsentr Informatizatsii, is developing software that will use machine learning to detect and prevent mass unrest. The software will analyse news reports, social media postings, public transport data, and video surveillance footage; if it fails to prevent mass unrest it is expected to direct the crowd's movements to stop it from escalating. The software is expected to be able to distinguish between political and religious rallies and anti-police protests. Its development follows an increasing crackdown on dissent; at least a third of the regional coordinators for opposition leader Alexei Navalny have fled the country.

Writer: Moscow Times
Publication: Moscow Times
Publication date: 2021-11-30