Sexualised Deepfakes: Predictors, Consequences, Responses and Prevention. Artificial Intelligence is changing how perpetrators sexually abuse. Yet little research has explored this, and laws and digit

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Sexualised Deepfakes: Predictors, Consequences, Responses and Prevention. Artificial Intelligence is changing how perpetrators sexually abuse. Yet little research has explored this, and laws and digital platforms are failing to keep pace. This project aims to identify the predictors, harms and consequences of sexualised deepfakes (a form of Artificial Intelligence-Facilitated Abuse) and produce evidence to inform legal, technological and social responses to this growing problem. Expected outcomes include increased understanding of the drivers of abuse, the development of improved prevention resources and social, technological and legal responses for digital platforms, organisations and government. Expected benefits include improved laws, policies and practices to prevent Artificial Intelligence-Facilitated Abuse.. Scheme: Discovery Projects. Field: 4402 - Criminology. Lead: Prof Asher Flynn