As advancements in brain decoding technology continue to unfold, the capacity to decode an individual’s mental state through brain activity—referred to as mind-reading—gains increasing plausibility. Harnessing artificial intelligence (AI) techniques, specifically deep learning algorithms, my past research has demonstrated decoding of mental content pertaining to dreaming, mental imagery, and attentional focus from brain activity. In this talk, I will provide an overview of my prior investigations and delve into how AI methodologies that have been proven effective in real-world information processing tasks such as image, auditory, and text analysis, can be used to elucidate the neural mechanisms underpinning the human mind. Additionally, I will explore the potential challenges and prospects in this field.