"Chinese philosophy before our Christian era is emphasized in this nontechnical summary of Chinese thought. Professor Creel also deals with Confucianism, the ideas of Mo-tsu and Mencius, Taoism, Legalism, and their variations and adaptations. As an introduction for the general reader, this book stands among the best."—_China: A Resource and Curriculum Guide_ "There exists nowhere else such a well-written presentation of the main trends in Chinese thought in so brief a space. The text is not cluttered with Chinese names (...) and the pages are not weighed down with footnotes—but the references are there for those who want them, with suggestions for further readings. This is a book which can be understood by those who have never read anything else about China."—_The New York Times Book Review _. (shrink)

What Is Taoism? traces, in nontechnical language, the history of the development of this often baffling doctrine. Creel shows that there has not been one "Taoism," but at least three, in some respects incompatible and often antagonistic.

本书共分十六章, 包括研究孔子的依据, 孔子时代的中国, 生平事迹, 弟子们, 学者, 哲学家, 改革者, 从人到神, 儒学与西方民主, 孔子与中华民国等内容.

In this creative and innovative work Creel Froman establishes a fascinatingly new way of looking at human behavior. His principal themes are: What does life mean? How do we arrive at answers to such a question? What is the answer? In a skillful blending of fiction and scholarship, using dialogue, prose, and poetry, he makes his points regarding the human condition and how we come to know about it. The book is made up of two parts: the “manuscript” of (...) Hugo Potts—a five-act play interspersed with letters, poems, and notes—and, second, the “life” of Hugo Potts—a professor of sociology —his career, love, marriage, and developing intellectual life. The two parts provide a fascinating story with brilliant insights and profound conclusions. A unique and mind-expanding book, addressed to general interested readers as well as students of social sciences, humanities, and fine arts. (shrink)

In this second volume, Book III looks at another irreal language, that of games/sports, and discusses how it functions metaphorically to serve power's interests. Book IV offers an analysis of language as multiple forms of oppression (racism, sexism, classism, ageism, speciesism [humanism]}. It reveals how such a language is constructed, both in formal as well as in individual language. It also shows how power is a consequence of structured inequalities built into language itself, producing, in its "wake," languages of resistance. (...) Book V brings together a number of themes, including play, language as commanding, institutional power, and proper names. (shrink)

While feminist critiques of AI are increasingly common in the scholarly literature, they are by no means new. Alison Adam’s Artificial Knowing (1998) brought a feminist social and epistemological stance to the analysis of AI, critiquing the symbolic AI systems of her day and proposing constructive alternatives. In this paper, we seek to revisit and renew Adam’s arguments and methodology, exploring their resonances with current feminist concerns and their relevance to contemporary machine learning. Like Adam, we ask how new AI (...) methods could be adapted for feminist purposes and what role new technologies might play in addressing concerns raised by feminist epistemologists and theorists about algorithmic systems. In particular, we highlight distributed and federated learning as providing partial solutions to the power-oriented concerns that have stymied efforts to make machine learning systems more representative and pluralist. (shrink)

Scientists depend on complex computational systems that are often ineliminably opaque, to the detriment of our ability to give scientific explanations and detect artifacts. Some philosophers have s...

Built-in decision thresholds for AI diagnostics are ethically problematic, as patients may differ in their attitudes about the risk of false-positive and false-negative results, which will require that clinicians assess patient values.

This article examines the complaint that arbitrary algorithmic decisions wrong those whom they affect. It makes three contributions. First, it provides an analysis of what arbitrariness means in this context. Second, it argues that arbitrariness is not of moral concern except when special circumstances apply. However, when the same algorithm or different algorithms based on the same data are used in multiple contexts, a person may be arbitrarily excluded from a broad range of opportunities. The third contribution is to explain (...) why this systemic exclusion is of moral concern and to offer a solution to address it. (shrink)