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商品描述
AI for Knowledge explores the question of whether artificial intelligence (AI) is transforming knowledge access and creation for the good. AI is accelerating our access to knowledge through search, recommendation, summarisation, translation and a proliferating range of tools with AI built in. Generative AI is further changing how we use and create information at home and in the workplace. Yet AI also has a dark side with hallucination, bias and lack of explainability, as well as potential for harmful impacts on social equity and the environment.
The book investigates how AI will impact everyday knowledge discovery, understanding and creation. It considers both the positive benefits and the many informational and ethical challenges, including the impact on our wider information culture. It then weighs up the impact on scholarship, in science, social science and the humanities and including the processes of scholarly communication. It explains the role of libraries and archives and how they could be enhanced using AI. It concludes by showing how governments can regulate AI to ensure social benefit and outlines what we as individuals need to know about AI.
The book helps the reader see through some of the AI hype to understand much more clearly what are the issues around the impact of AI on knowledge access and creation, including the implications for environmental sustainability and the power of Big Tech. What emerges is a nuanced picture of potential benefit and risk, especially when we consider the experiences of those with less privileged access to the digital, particularly those outside the Global North.
商品描述(中文翻譯)
《AI for Knowledge》探討了人工智慧（AI）是否正在為知識的獲取和創造帶來積極的變革。AI透過搜尋、推薦、摘要、翻譯以及一系列內建AI的工具，加速了我們對知識的獲取。生成式AI進一步改變了我們在家庭和工作場所使用和創造資訊的方式。然而，AI也有其陰暗面，包括幻覺、偏見和缺乏可解釋性，以及對社會公平和環境可能造成的有害影響。
本書調查了AI將如何影響日常知識的發現、理解和創造。它考慮了正面效益以及許多資訊和倫理挑戰，包括對我們更廣泛資訊文化的影響。接著，它評估了對學術界的影響，包括科學、社會科學和人文學科，以及學術交流的過程。它解釋了圖書館和檔案館的角色，以及如何利用AI來增強這些機構的功能。最後，它展示了政府如何規範AI以確保社會利益，並概述了我們作為個體需要了解的AI相關知識。
本書幫助讀者透過一些AI的炒作，清楚理解AI對知識獲取和創造的影響所涉及的問題，包括對環境可持續性和大型科技公司的影響。所呈現的是一幅潛在利益與風險的細緻圖景，特別是當我們考慮到那些在數位世界中獲取資源較少的人的經驗，尤其是全球北方以外的群體。
作者簡介
Andrew Cox, PhD, is Senior Lecturer at the Information School, University of Sheffield, United Kingdom. His interests include the impact of datafication and AI on knowledge creation and use.
Mike Thelwall is Professor of Data Science at the Information School, University of Sheffield, United Kingdom. His interests include applications of artificial intelligence for research evaluation.
作者簡介(中文翻譯)
安德魯·考克斯（Andrew Cox），博士，是英國謝菲爾德大學資訊學院的高級講師。他的研究興趣包括數據化和人工智慧對知識創造和使用的影響。
邁克·塞爾沃爾（Mike Thelwall）是英國謝菲爾德大學資訊學院的數據科學教授。他的研究興趣包括人工智慧在研究評估中的應用。
