Generative AI-based closed-loop fMRI system

• URL: http://arxiv.org/abs/2401.16742v1
• Date: Tue, 30 Jan 2024 04:40:49 GMT
• Title: Generative AI-based closed-loop fMRI system
• Authors: Mikihiro Kasahara, Taiki Oka, Vincent Taschereau-Dumouchel, Mitsuo Kawato, Hiroki Takakura, Aurelio Cortese
• Abstract summary: DecNefGAN is a novel framework that combines a generative adversarial system and a neural reinforcement model. It can contribute to elucidating how the human brain responds to and counteracts the potential influence of generative AI.
• Score: 0.41942958779358674
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: While generative AI is now widespread and useful in society, there are potential risks of misuse, e.g., unconsciously influencing cognitive processes or decision-making. Although this causes a security problem in the cognitive domain, there has been no research about neural and computational mechanisms counteracting the impact of malicious generative AI in humans. We propose DecNefGAN, a novel framework that combines a generative adversarial system and a neural reinforcement model. More specifically, DecNefGAN bridges human and generative AI in a closed-loop system, with the AI creating stimuli that induce specific mental states, thus exerting external control over neural activity. The objective of the human is the opposite, to compete and reach an orthogonal mental state. This framework can contribute to elucidating how the human brain responds to and counteracts the potential influence of generative AI.

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