Algorithms, Humans, and Interactions: How Do Algorithms Interact with People? Designing Meaningful AI Experiences

Amidst the rampant use of algorithmization enabled by AI, the common theme of AI systems is the human factor. Humans play an essential role in designing, developing, and operationalizing AI systems. We have a remit to ensure those systems run transparently, perform equitably, value our privacy, and effectively fulfill human needs. This book takes an interdisciplinary approach to contribute to the ongoing development of human-AI interaction with a particular focus on the "human" dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society. The readers of this book will benefit by gaining insights into various perspectives about how AI has impacted people and society and how it will do so in the future, and understanding how we can design algorithm systems that are beneficial, legitimate, usable by humans, and designed considering and respecting human values. This book provides a horizontal set of guidelines and insight into how humans can be empowered by making choices about AI designs that allow them meaningful control over AI. Designing meaningful AI experiences has garnered great attention to address responsibility gaps and mitigate them by establishing conditions that enable the proper attribution of responsibility to humans. This book helps us understand the possibilities of what AI systems can do and how they can and should be integrated into our society.

在人工智慧（AI）的普遍算法化使用中，AI系統的共同主題是人的因素。人類在設計、開發和運作AI系統中扮演著重要角色。我們有責任確保這些系統運行透明，公平地執行，尊重我們的隱私，並有效滿足人類需求。本書採用跨學科的方法，為人與AI互動的持續發展做出貢獻，特別關注“人”的維度，並提供改進AI設計的見解，以使其真正有益並在社會中有效使用。本書的讀者將從不同的觀點中獲得洞察力，了解AI如何影響人和社會，以及未來將如何影響，並了解我們如何設計有益於人類、合法、可由人類使用並考慮和尊重人類價值的算法系統。本書提供了一套水平的指南和見解，說明人類如何通過對AI設計做出選擇，使他們對AI具有有意義的控制權。設計有意義的AI體驗已引起廣泛關注，以解決責任漏洞並通過建立條件來確定責任歸屬於人類。本書幫助我們了解AI系統的可能性以及它們如何以及應該如何融入我們的社會。

Don Donghee Shin has been a professor of digital media at Zayed University, UAE, as well as Swansea University, UK. Over the last 25 years, he has worked at various universities in the US and South Korea, including Sungkyunwkan University, Syracuse University, Penn State University, and the University of California, Berkeley. Broadly, his research areas include human-algorithm interaction, social computing, and media analytics. His research explores the impact of algorithmic platforms in terms of ethical considerations, algorithms, human-computer interaction, and media studies. In his recent research, he has examined various mechanisms to investigate users' behavior around opaque algorithmic systems, redesign these systems to communicate opaque algorithmic processes to users, and provide them with a more informed, satisfying, and engaging interaction.

Don Donghee Shin（申東熙）是阿聯酋扎耶德大學（Zayed University）和英國斯旺西大學（Swansea University）的數位媒體教授。在過去的25年中，他曾在美國和南韓的多所大學任教，包括成均館大學（Sungkyunwkan University）、雪城大學（Syracuse University）、賓州州立大學（Penn State University）和加州大學伯克利分校（University of California, Berkeley）。他的研究範疇包括人類與演算法的互動、社交計算和媒體分析。他的研究探討演算法平台在倫理考量、演算法、人機互動和媒體研究方面的影響。在他最近的研究中，他探討了各種機制來研究使用者在不透明演算法系統周圍的行為，重新設計這些系統以向使用者傳達不透明演算法過程的資訊，並提供他們更具知情性、滿意度和互動性的互動體驗。