Algorithms, Humans, and Interactions: How Do Algorithms Interact with People? Designing Meaningful AI Experiences
暫譯: 演算法、人類與互動：演算法如何與人互動？設計有意義的 AI 體驗

Shin, Don Donghee

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

商品描述

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.

商品描述(中文翻譯)

在人工智慧（AI）所促成的算法化廣泛應用中，AI 系統的共同主題是人類因素。人類在設計、開發和運營 AI 系統中扮演著至關重要的角色。我們的任務是確保這些系統運行透明、公平，重視我們的隱私，並有效滿足人類需求。本書採取跨學科的方法，旨在為人類與 AI 互動的持續發展做出貢獻，特別關注「人類」維度，並提供改善 AI 設計的見解，使其能夠真正對社會有益並有效使用。本書的讀者將能夠獲得有關 AI 如何影響人類和社會的各種觀點，以及未來將如何影響的見解，並理解我們如何設計有益的、合法的、可供人類使用的算法系統，並在設計中考慮和尊重人類價值。本書提供了一套橫向的指導方針，並深入探討人類如何通過對 AI 設計的選擇來賦予自己有意義的控制權。設計有意義的 AI 體驗引起了廣泛關注，以解決責任缺口並通過建立條件來減輕這些缺口，從而使責任能夠正確歸屬於人類。本書幫助我們理解 AI 系統可以做什麼，以及它們如何以及應該如何融入我們的社會。

作者簡介

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.

作者簡介(中文翻譯)

申東熙教授曾任阿聯酋扎伊德大學及英國斯旺西大學的數位媒體教授。在過去的25年中，他在美國和南韓的多所大學工作，包括成均館大學、雪城大學、賓州州立大學和加州大學伯克利分校。廣義上，他的研究領域包括人類與演算法的互動、社會計算和媒體分析。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，他檢視了各種機制，以調查用戶在不透明演算法系統周圍的行為，重新設計這些系統以向用戶傳達不透明的演算法過程，並為他們提供更具資訊性、滿意度和互動性的體驗。

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