Philosophy of Science for Machine Learning: Core Issues and New Perspectives
暫譯: 機器學習的科學哲學：核心議題與新視角
Durán, Juan M., Pozzi, Giorgia
- 出版商: Springer
- 出版日期: 2025-12-09
- 售價: $2,620
- 貴賓價: 9.5 折 $2,489
- 語言: 英文
- 頁數: 506
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 303203082X
- ISBN-13: 9783032030825
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相關分類:
Machine Learning
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相關主題
商品描述
This open access book offers a comprehensive and systematic debate on the key concepts and areas of application of the philosophy of science for machine learning. The current landscape of the debate about the epistemic and methodological challenges raised by machine learning in scientific fields is fragmented and lacks a common thread that helps to understand the complexity of the issue. Against this background, this book brings together expert researchers in the field, structuring the debate in ways that allow readers to navigate quickly in this evolving field of research and pave the way to new paths of philosophical and technical research. Although the book is written from the perspective of philosophy of science and epistemology, it is of interest to philosophers in a myriad of fields, such as philosophy of mind, philosophy of language, philosophy of neuroscience, and metaphysics of science, STS studies, as well as to researchers working on technical and computational issues such as explainability, trustworthiness, interpretability, transparency.
商品描述(中文翻譯)
這本開放存取的書籍提供了一個全面且系統性的辯論，探討機器學習的科學哲學的關鍵概念和應用領域。目前關於機器學習在科學領域所引發的認識論和方法論挑戰的辯論現狀是支離破碎的，缺乏一個共同的主線來幫助理解這個問題的複雜性。在這樣的背景下，本書匯集了該領域的專家研究者，結構化辯論的方式使讀者能夠快速導航於這個不斷發展的研究領域，並為新的哲學和技術研究道路鋪平道路。雖然本書是從科學哲學和認識論的角度撰寫，但對於許多領域的哲學家來說都具有興趣，例如心靈哲學、語言哲學、神經科學哲學、科學的形而上學、科技與社會研究（STS），以及對於處理可解釋性、可信度、可解釋性和透明度等技術和計算問題的研究者。
作者簡介
Juan M. Durán is an Assistant Professor at the Delft University of Technology. His work has focused on the intersection between philosophy of science and technology, first with computer simulations and more recently with machine learning. He also has extensive work on the ethics of technology. In 2019 he was awarded the Herbert A. Simon Award for outstanding research in computing and philosophy. This award is offered by the International Association for Computing and Philosophy (IACAP) and recognizes scholars at an early stage of their academic career who are likely to reshape debates at the nexus of computing and philosophy with their original research. He has held visiting fellowships at the University of Virginia, Tilburg University, and the Netherlands Institute for Advanced Studies in the Humanities and Social Sciences. His current work focuses on developing Computational Reliabilism, a theoretical framework for the justification of our belief in the output of machine learning.
Giorgia Pozzi is a Ph.D. Candidate at TU Delft working at the intersection between the ethics and epistemology of explanatory AI, with a particular interest in machine-learning implementations in the field of medicine and healthcare. Among others, her research focuses on injustices that can emerge in connection to ML in healthcare, particularly due to the epistemic limitations of ML systems. Furthermore, she is interested in questions regarding the bearing of epistemic justification on moral justification in AI-based medical decision-making. She is thus interested in making explicit and investigating in-depth the conflating and intertwined nature of epistemology and ethics in the context of AI. Before joining TU Delft, she obtained a Bachelor's degree in Philosophy (focusing on moral philosophy and metaethics) and in Chinese Studies at Ludwig-Maximilians-University (LMU) in Munich. Afterwards, she completed her Master's focusing on the ethics and epistemology of artificial intelligence at the same university.作者簡介(中文翻譯)
胡安·M·杜蘭是代爾夫特科技大學的助理教授。他的研究專注於科學與技術哲學的交集，最初是計算機模擬，最近則是機器學習。他在技術倫理方面也有廣泛的研究。2019年，他獲得了赫伯特·A·西蒙獎，以表彰他在計算與哲學領域的傑出研究。這個獎項由國際計算與哲學協會（IACAP）頒發，旨在表彰那些在學術生涯早期的學者，他們的原創研究有可能重塑計算與哲學之間的辯論。他曾在維吉尼亞大學、蒂爾堡大學以及荷蘭人文與社會科學高級研究所擔任訪問研究員。他目前的工作專注於發展計算可靠性主義（Computational Reliabilism），這是一個用於證明我們對機器學習輸出信念的理論框架。
喬治亞·波齊是代爾夫特科技大學的博士候選人，專注於解釋性人工智慧的倫理學與認識論的交集，特別關注機器學習在醫療與健康領域的應用。她的研究主要集中在與醫療保健中機器學習相關的社會不公，特別是由於機器學習系統的認識限制而產生的問題。此外，她對於認識論的正當性在基於人工智慧的醫療決策中的道德正當性所產生的影響問題也很感興趣。因此，她希望在人工智慧的背景下，明確並深入探討認識論與倫理學之間的混合與交織的本質。在加入代爾夫特科技大學之前，她在慕尼黑的路德維希-馬克西米利安大學（LMU）獲得了哲學學士學位（專注於道德哲學和元倫理學）以及中文研究學位。之後，她在同一所大學完成了專注於人工智慧倫理學與認識論的碩士學位。
