Intergenerational Support for Deepfake Scams Targeting Older Adults
Karina LaRubbio, Alyssa Lanter, Seihyun Lee, Mahima Ramesh, Diana Freed

TL;DR
This paper investigates how older adults perceive deepfake scams targeting them, emphasizing the importance of intergenerational support and trust in detecting and preventing these convincing AI-driven impersonation attacks.
Contribution
It provides insights into older adults' perceptions of deepfake scams and highlights the potential of engaging youth to bolster intergenerational online safety.
Findings
Older adults rely on trusted relationships to identify scams.
Intergenerational support can enhance scam detection.
Trust is crucial in developing protective practices.
Abstract
AI-enhanced scams now employ deepfake technology to produce convincing audio and visual impersonations of trusted family members, often grandchildren, in real time. These attacks fabricate urgent scenarios, such as legal or medical emergencies, to socially engineer older adults into transferring money. The realism of these AI-generated impersonations undermines traditional cues used to detect fraud, making them a powerful tool for financial exploitation. In this study, we explore older adults' perceptions of these emerging threats and their responses, with a particular focus on the role of youth, who may also be impacted by having their identities exploited, in supporting older family members' online safety. We conducted focus groups with 37 older adults (ages 65+) to examine their understanding of deepfake impersonation scams and the value of intergenerational technology support.…
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