Sexualised Deepfakes: Predictors, Consequences, Responses and Prevention

性化 Deepfakes：预测因素、后果、反应和预防

• 批准号: DP230100241
• 负责人: A/Prof Asher Flynn
• 金额: $ 19.39万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-09-22 至 2026-09-21
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP230100241
• 关键词: Sexualised; Deepfakes; Predictors; Consequences; Responses

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.

人工智能正在改变犯罪者的性虐待方式。然而很少有研究对此进行探索，法律和数字平台也未能跟上步伐。该项目旨在确定性深度假货（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，为这一日益严重的问题提供法律、技术和社会应对措施。预期成果包括加深对滥用行为驱动因素的了解，开发改进的预防资源以及数字平台、组织和政府的社会、技术和法律应对措施。预期的好处包括改进法律、政策和实践，以防止人工智能滥用。