Generative AI in Research: Applications in Research Design, Data Analysis and Feedback
暫譯: 生成式 AI 在研究中的應用：研究設計、數據分析與反饋
Kolade, Oluwaseun, Egbetokun, Abiodun, Owoseni, Adebowale
- 出版商: Palgrave MacMillan
- 出版日期: 2026-01-03
- 售價: $6,820
- 貴賓價: 9.8 折 $6,684
- 語言: 英文
- 頁數: 228
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032024390
- ISBN-13: 9783032024398
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商品描述
The growing popularity of Generative AI has stirred new debates about the future of knowledge production. With a prompt and a click, regular users can now generate contents on just about any topic of interest, drawing from hundreds of billions of parameters with which the latest versions of Gen AI models are trained. As Generative AI rapidly evolves with more advanced features and capabilities, stakeholders have expressed worries that AI models will displace humans as central agents in the research process. This book examines the case for and against applications of Gen AI in research, highlighting the prospects and pitfalls. Using exemplar prompts and custom GPTs created by the authors, it explores prospective use cases for automated data processing, complex modelling and simulations; applications in experimental designs; and review of draft manuscripts. The book also engages with key issues around algorithmic bias, inaccuracies, fake information, epistemic injustice, and the ethics of AI applications in research.
In some ways a companion piece to the authors' previous title, 'Generative AI in Higher Education: Innovation Strategies for Teaching and Learning', this book has a particularly practical appeal for researchers, as well as university officials and policymakers getting to grips with the explosion of AI-assisted research. It will also be of value to scholars of AI and innovation strategy in higher education.
商品描述(中文翻譯)
隨著生成式人工智慧（Generative AI）日益受到歡迎，關於知識生產未來的新辯論也隨之而起。透過一個提示和一次點擊，普通用戶現在可以生成幾乎任何感興趣主題的內容，這些內容是基於數百億個參數，這些參數是最新版本的生成式人工智慧模型所訓練的。隨著生成式人工智慧快速演進，具備更先進的功能和能力，相關利益者對於人工智慧模型可能取代人類在研究過程中作為核心角色的擔憂日益增加。本書探討了生成式人工智慧在研究中的應用的支持與反對觀點，突顯其前景與陷阱。透過作者創建的範例提示和自訂的GPT，本書探索了自動數據處理、複雜建模和模擬的潛在使用案例；在實驗設計中的應用；以及對草稿手稿的審查。本書還涉及了有關算法偏見、不準確性、假資訊、認識論不公正以及人工智慧在研究中應用的倫理等關鍵問題。
在某種程度上，本書是作者之前著作《高等教育中的生成式人工智慧：教學與學習的創新策略》的伴隨作品，對於研究人員以及面對人工智慧輔助研究爆炸性增長的大學官員和政策制定者來說，具有特別的實用吸引力。本書對於高等教育中人工智慧和創新策略的學者也將具有價值。
作者簡介
Oluwaseun Kolade is a Full Professor of Entrepreneurship and Digital Transformation at Sheffield Business School, Sheffield Hallam University, UK. He has authored more than 100 academic outputs spanning digital transformation, AI, circular economy and SMEs strategies.
Abiodun Egbetokun is Senior Lecturer in Business Management at De Montfort University, Leicester, UK, and a Senior Fellow of the Higher Education Academy (SFHEA). His current research examines the implications of LLMs in research, industry and higher education.
Adebowale Owoseni is a Senior Lecturer in Information Systems at De Montfort University, Leicester, UK, and a Senior Fellow of the Higher Education Academy (SFHEA). He transitioned to academia in 2019 after a 13-year career in fintech.
作者簡介(中文翻譯)
Oluwaseun Kolade 是英國謝菲爾德哈倫大學（Sheffield Hallam University）謝菲爾德商學院的創業與數位轉型全職教授。他已發表超過 100 篇學術成果，涵蓋數位轉型、人工智慧（AI）、循環經濟及中小企業（SMEs）策略。
Abiodun Egbetokun 是英國德蒙福特大學（De Montfort University）商業管理的高級講師，並且是高等教育學院的高級研究員（SFHEA）。他目前的研究探討大型語言模型（LLMs）在研究、產業及高等教育中的影響。
Adebowale Owoseni 是英國德蒙福特大學資訊系統的高級講師，並且是高等教育學院的高級研究員（SFHEA）。他在 2019 年轉向學術界，之前在金融科技（fintech）領域工作了 13 年。
