2024-09-02 シンガポール国立大学(NUS)
The team led by iGyro principal investigator Prof Simon Chesterman mapped out the distribution of laws against misinformation and its relationship between political freedom of countries around the world, based on information as of 2023.
＜関連情報＞
- https://news.nus.edu.sg/nus-researchers-innovative-approaches-to-tackle-false-information/
- https://dl.acm.org/doi/10.1145/3689372
誤報、偽情報、生成AI：認識と政策への示唆 Misinformation, Disinformation, and Generative AI: Implications for Perception and Policy
Kokil Jaidka, Tsuhan Chen, Simon Chesterman, Wynne Hsu, Min-Yen Kan, Mohan Kankanhalli, + 7
Digital Government: Research and Practice Published:23 August 2024
DOI:https://doi.org/10.1145/3689372
Abstract
The emergence of generative artificial intelligence (GenAI) has exacerbated the challenges of Misinformation, Disinformation, and Mal-information (MDM) within digital ecosystems. These multifaceted challenges demand a re-evaluation of the digital information lifecycle and a deep understanding of its social impact. An interdisciplinary strategy integrating insights from technology, social sciences, and policy analysis is crucial to address these issues effectively. This paper introduces a three-tiered framework to scrutinize the lifecycle of GenAI-driven content from creation to consumption, emphasizing the consumer perspective. We examine the dynamics of consumer behavior that drive interactions with MDM, pinpoints vulnerabilities in the information dissemination process, and advocates for adaptive, evidence-based policies. Our interdisciplinary methodology aims to bolster information integrity and fortify public trust, equipping digital societies to manage the complexities of GenAI and proactively address the evolving challenges of digital misinformation. We conclude by discussing how GenAI can be leveraged to combat MDM, thereby creating a reflective cycle of technological advancement and mitigation.
