Sexualised Deepfakes: Predictors, Consequences, Responses and Prevention

人工智能正在改变犯罪者性虐待的方式。然而，很少有研究探讨这一点，法律和数字平台未能跟上步伐。该项目旨在确定性化deepfakes（人工智能辅助滥用的一种形式）的预测因素，危害和后果，并提供证据，为法律的，技术和社会应对这一日益严重的问题提供信息。预期成果包括加深对滥用驱动因素的了解，开发更好的预防资源，以及为数字平台、组织和政府提供社会、技术和法律的应对措施。预期的好处包括改进法律、政策和做法，以防止人工智能协助的滥用。

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.