Synthetic Human Memories: AI-Edited Images and Videos Can Implant False Memories and Distort Recollection
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Abstract (arXiv)
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.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 16 of its 133 references that are in the map. First posted on arXiv 13 Sep 2024.
Builds on
16 of 133 references.
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4 more
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Citing papers per year: 2024: 1; 2025: 1; 2026: 5.
7 papers.
- 2026AI-exhibited Personality Traits Can Shape Human Self-concept through Conversationscited by 3
- 2025The AI Memory Gap: Users Misremember What They Created With AI or Withoutcited by 2
- 2026Vidmento: Creating Video Stories Through Context-Aware Expansion With Generative Videocited by 2
- 2024Unforgettable Lessons from Forgettable Images: Intra-Class Memorability Matters in Computer Visioncited by 1
- 2026Dataset Biases and Shortcut Learning in Motion-Based AI-Generated Video Detectioncited by 1
- 2026"I'm happy even though it's not real": GenAI Photo Editing as a Remembering Experiencecited by 0
- 2026InnerPond: Fostering Inter-Self Dialogue with a Multi-Agent Approach for Introspectioncited by 0
- 2026Dataset Biases and Shortcut Learning in Motion-Based AI-Generated Video Detection1 Jul 2026
- 2026InnerPond: Fostering Inter-Self Dialogue with a Multi-Agent Approach for Introspection29 Mar 2026
- 2026"I'm happy even though it's not real": GenAI Photo Editing as a Remembering Experience3 Feb 2026
- 2026Vidmento: Creating Video Stories Through Context-Aware Expansion With Generative Video29 Jan 2026
- 2026AI-exhibited Personality Traits Can Shape Human Self-concept through Conversations19 Jan 2026
- 2025The AI Memory Gap: Users Misremember What They Created With AI or Without15 Sep 2025
- 2024Unforgettable Lessons from Forgettable Images: Intra-Class Memorability Matters in Computer Vision30 Dec 2024