Generative AI in the Social Sciences and Humanities: Navigating Challenges and Opportunities in Research and Education
暫譯: 社會科學與人文學科中的生成式人工智慧：研究與教育中的挑戰與機遇導航
Olszowski, Rafal, Gomulka, Jakub
相關主題
商品描述
Generative AI is transforming how we learn, teach, and conduct research, reshaping the foundations of the social sciences and humanities. Generative AI in the Social Sciences and Humanities examines this profound shift, offering an accessible and authoritative guide for scholars, educators, and professionals navigating the opportunities and risks of AI in academic life.
Bringing together an international team of contributors from Poland, Italy, the UK, Ukraine, and Finland, this volume provides an interdisciplinary exploration of how generative AI is reshaping research practices, educational environments, and scholarly culture within SSH. The book covers a broad thematic landscape: from the evolution and taxonomy of AI, to its uses in disinformation studies, academic integrity, and specialized professional training. It includes empirical insights from focus groups and classroom research, detailed analyses of LLM-driven risks such as hallucinations, bias, and erosion of critical thinking, as well as practical applications like AI-enhanced tutoring and dataset governance. Combining theoretical perspectives with real-world examples, the monograph illuminates how AI tools are deployed, perceived, and negotiated in universities, research institutions, and digital public spheres.
The book is unique for its SSH-focused perspective, empirical depth, and strong ethical framing. It provides concrete guidelines and best practices for the responsible use of AI, enabling researchers, educators, and students to balance innovation with integrity. By bringing technical and humanistic perspectives into dialogue, the volume offers a vital roadmap for navigating AI's rapidly evolving place in academic life.
- First major volume fully dedicated to AI in the social sciences and humanities, not STEM
- Based on original empirical research (focus groups, classroom studies, interviews)
- Offers practical guidelines for researchers, educators, and decision-makers
商品描述(中文翻譯)
生成式人工智慧正在改變我們的學習、教學和研究方式，重塑社會科學和人文學科的基礎。《生成式人工智慧在社會科學和人文學科中的應用》探討了這一深刻的變化，為學者、教育工作者和專業人士提供了一本易於理解且權威的指南，幫助他們在學術生活中應對人工智慧的機遇與風險。
本書匯集了來自波蘭、意大利、英國、烏克蘭和芬蘭的國際貢獻者，提供了一個跨學科的探索，研究生成式人工智慧如何重塑社會科學和人文學科（SSH）中的研究實踐、教育環境和學術文化。該書涵蓋了廣泛的主題範疇：從人工智慧的演變和分類，到其在假資訊研究、學術誠信和專業訓練中的應用。它包括來自焦點小組和課堂研究的實證見解，詳細分析了大型語言模型（LLM）驅動的風險，如幻覺、偏見和批判性思維的侵蝕，以及像是人工智慧增強輔導和數據集治理等實際應用。這本專著結合了理論觀點和現實案例，闡明了人工智慧工具在大學、研究機構和數位公共領域中的部署、感知和協商方式。
本書以其專注於社會科學和人文學科的視角、實證深度和強烈的倫理框架而獨樹一幟。它提供了負責任使用人工智慧的具體指導方針和最佳實踐，使研究人員、教育工作者和學生能夠在創新與誠信之間取得平衡。通過將技術和人文視角進行對話，本書為應對人工智慧在學術生活中迅速演變的地位提供了一條重要的路線圖。
- 首部專門針對社會科學和人文學科的人工智慧專著，而非STEM領域
- 基於原創實證研究（焦點小組、課堂研究、訪談）
- 為研究人員、教育工作者和決策者提供實用指導方針
作者簡介
Rafal Olszowski is a social scientist specializing in research on collective intelligence, e-participation, the digital public sphere, political communication on social media, argument mining, AI ethics, e-government, and the history of political doctrines. He is affiliated with AGH University of Kraków. He is the author of two monographs: Permanence and Change in the Political Thought of Edmund Burke (2021) and Collective Intelligence in Open Policymaking (2024). In addition to his academic work, he is an experienced business consultant in new technologies, a designer of educational board games, and a manager of innovation-driven learning projects. Beyond his professional activities, he is actively involved in the non-governmental sector through the Aurea Libertas Institute Foundation.
Jakub Gomulka is a philosopher and computer scientist whose work centres on Ludwig Wittgenstein, Stanislaw Lem, knowledge graph technology, and the applications of generative AI within the humanities. He is affiliated with the Faculty of Humanities at the AGH University of Kraków. He is the author of two monographs on Wittgenstein's philosophy and currently serves as the lead researcher in the development of the ongoing Lem Knowledge Graph project. In addition, he contributes to the Wittgenstein Ontology project conducted by the Wittgenstein Archives at the University of Bergen.
作者簡介(中文翻譯)
拉法爾·奧爾索夫斯基是一位社會科學家，專注於集體智慧、電子參與、數位公共領域、社交媒體上的政治溝通、論證挖掘、人工智慧倫理、電子政府以及政治學說的歷史等研究。他隸屬於克拉科夫的AGH大學。他是兩部專著的作者：《愛德蒙·伯克政治思想中的持久性與變化》（2021年）和《開放政策制定中的集體智慧》（2024年）。除了學術工作外，他還是一位在新技術領域具有豐富經驗的商業顧問、教育桌遊的設計師，以及創新驅動學習項目的經理。除了專業活動外，他還通過奧雷亞·利伯塔斯研究所基金會積極參與非政府部門的工作。
雅庫布·戈穆卡是一位哲學家和計算機科學家，研究重點集中在路德維希·維根斯坦、斯坦尼斯瓦夫·萊姆、知識圖譜技術以及生成式人工智慧在人文學科中的應用。他隸屬於克拉科夫的AGH大學人文學院。他是兩部關於維根斯坦哲學的專著的作者，目前擔任正在進行的萊姆知識圖譜項目的首席研究員。此外，他還參與了卑爾根大學維根斯坦檔案館進行的維根斯坦本體論項目。
