Synthetic Human Memories: AI-Edited Images and Videos Can Implant False Memories and Distort Recollection

要旨

AI is increasingly used to enhance images and videos, both intentionally and unintentionally. As AI editing tools become more integrated into smartphones, users can modify or animate photos into realistic videos. This study examines the impact of AI-altered visuals on false memories—recollections of events that didn’t occur or deviate from reality. In a pre-registered study, 200 participants were divided into four conditions of 50 each. Participants viewed original images, completed a filler task, then saw stimuli corresponding to their assigned condition: unedited images, AI-edited images, AI-generated videos, or AI-generated videos of AI-edited images. AI-edited visuals significantly increased false recollections, with AI-generated videos of AI-edited images having the strongest effect (2.05x compared to control). Confidence in false memories was also highest for this condition (1.19x compared to control). We discuss potential applications in HCI, such as therapeutic memory reframing, and challenges in ethical, legal, political, and societal domains.

受賞
Best Paper
著者
Pat Pataranutaporn
Massachusetts Institute of Technology, Boston, Massachusetts, United States
Chayapatr Archiwaranguprok
University of the Thai Chamber of Commerce, Bangkok, Thailand
Samantha W. T.. Chan
MIT Media Lab, Cambridge, Massachusetts, United States
Elizabeth Loftus
UC Irvine, Irvine, California, United States
Pattie Maes
MIT Media Lab, Cambridge, Massachusetts, United States
DOI

10.1145/3706598.3713697

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713697

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Human-Agent Interaction

Annex Hall F204
7 件の発表
2025-04-29 20:10:00
2025-04-29 21:40:00
日本語まとめ
読み込み中…