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๐—ช๐—ต๐—ฎ๐˜ ๐—บ๐—ฒ๐—ฑ๐—ถ๐—ฎ ๐—ฐ๐—ผ๐˜ƒ๐—ฒ๐—ฟ๐—ฎ๐—ด๐—ฒ ๐—ฟ๐—ฒ๐˜ƒ๐—ฒ๐—ฎ๐—น๐˜€ ๐—ฎ๐—ฏ๐—ผ๐˜‚๐˜ ๐—ฒ๐—บ๐—ฒ๐—ฟ๐—ด๐—ถ๐—ป๐—ด ๐—”๐—œ ๐—ฟ๐—ถ๐˜€๐—ธ๐˜€ As AI systems scale across sectors, signals from real-world incidents are essential for evidence-based governance. An OECD analysis draws on data from the OECD.AI Incidents and Hazards Monitor (AIM) to examine how media-reported AI risks are evolving across 14 thematic areas, including synthetic media, child safety, cyberattacks, privacy and health. Three trends from the report: ๐Ÿ”น Rising attention to risks linked to synthetic media and child safety reflects growing societal exposure and policy concern ๐Ÿ”น Event-driven spikes in coverage around election interference, security incidents and geopolitical uses of AI ๐Ÿ”น Declining attention to certain risk areas, such as autonomous vehicles, as the risk landscape shifts Media reporting does not only reflect incidents. It plays a role in shaping how risks are prioritised, interpreted and addressed by policymakers and institutions. Tracking these signals helps identify emerging governance gaps and areas requiring stronger monitoring and response. ๐—ฅ๐—ฒ๐—ฎ๐—ฑ ๐˜๐—ต๐—ฒ ๐—ฎ๐—ป๐—ฎ๐—น๐˜†๐˜€๐—ถ๐˜€ ๐˜๐—ผ ๐—ฒ๐˜…๐—ฝ๐—น๐—ผ๐—ฟ๐—ฒ ๐—ต๐—ผ๐˜„ ๐—”๐—œ ๐—ฟ๐—ถ๐˜€๐—ธ ๐—ฎ๐˜๐˜๐—ฒ๐—ป๐˜๐—ถ๐—ผ๐—ป ๐—ถ๐˜€ ๐—ฐ๐—ต๐—ฎ๐—ป๐—ด๐—ถ๐—ป๐—ดโ€”๐—ฎ๐—ป๐—ฑ ๐˜„๐—ต๐—ฎ๐˜ ๐˜๐—ต๐—ถ๐˜€ ๐—บ๐—ฒ๐—ฎ๐—ป๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ฝ๐—ผ๐—น๐—ถ๐—ฐ๐˜† ๐—ฎ๐—ป๐—ฑ ๐—ฝ๐—ฟ๐—ฎ๐—ฐ๐˜๐—ถ๐—ฐ๐—ฒ. ๐—Ÿ๐—ถ๐—ป๐—ธ ๐—ถ๐—ป ๐˜๐—ต๐—ฒ ๐—ฐ๐—ผ๐—บ๐—บ๐—ฒ๐—ป๐˜๐˜€.๐Ÿ‘‡ #AIRisks #AIIncidents #ArtificialIntelligence #TrustworthyAI #OECD

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