@inproceedings{b40ba47e5c094e50b2fbceab58f84d69,
title = "AI and Well-Being: Enhancing Health, Happiness and Cultural Understanding",
abstract = "This study explores Well-being AI's potential to enhance human health, happiness, and cultural understanding through the application of artificial intelligence (AI). It examines the dual impact of digital technology on well-being—its benefits and challenges—including issues like data bias, the need for transparency, and the role of AI in fostering positive human cognition and lifestyle improvements. Moreover, this study addresses AI's societal implications, emphasizing its role in promoting diversity and addressing digital misinformation. We advocate for the ethical and socially responsible development of AI to support individual happiness and broader societal well-being.",
keywords = "Well-being AI, happiness science, machine-learning limitation, personalization technology, self-knowledge technology",
author = "Takashi Kido",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 26th International Conference on Human-Computer Interaction, HCII 2024 ; Conference date: 29-06-2024 Through 04-07-2024",
year = "2025",
doi = "10.1007/978-3-031-76809-5\_7",
language = "英語",
isbn = "9783031768088",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "93--102",
editor = "Duffy, \{Vincent G.\}",
booktitle = "HCI International 2024 – Late Breaking Papers - 26th International Conference on Human-Computer Interaction, HCII 2024, Proceedings",
address = "ドイツ",
}