This is how one Native American presents her interpretation of the indigenous understanding of nature. As we will see in this article, many Native Americans present similar understandings. Their reciprocal relationships with nature permeated every aspect of life from spirituality to making a living and led to a different way of seeing the world, what they might call a more “environmental” way of seeing the world. But is this a true picture? Increasingly there has been debate over the nature of the Native American’s relationship to the land, both past and present. This article will examine this debate and the way in which Native Americans view nature.
Native American Philosophy
This article introduces the central thinkers of contemporary American Indian philosophy by discussing concerns including the nature of experience, meaning, truth, the status of the individual and community, and finally issues concerning sovereignty. The impossibility of carving up the intellectual traditions of contemporary Native scholars in North America into neat and tidy disciplines must be kept in mind. The first hallmark of American Indian philosophy is the commitment to the belief that all things are related—and this belief is not simply an ontological claim, but rather an intellectual and ethical maxim.
Daoism and Ecology: Ways within a Cosmic Landscape
Until now, no single work has been devoted to both a scholarly understanding of the complexities of the Daoist tradition and a critical exploration of its contribution to recent environmental concerns. The authors in this volume consider the intersection of Daoism and ecology, looking at the theoretical and historical implications associated with a Daoist approach to the environment. They also analyze perspectives found in Daoist religious texts and within the larger Chinese cultural context in order to delineate key issues found in the classical texts. Through these analyses, they assess the applicability of modern-day Daoist thought and practice in China and the West, with respect to the contemporary ecological situation.
The Space Between: How Empathy Really Works
The Space Between argues that empathy makes us less, not more, biased, contrary to what many seem to think. How? The fact is that a person sits in the center of a web of relationships with her body, her environment, her interests, and other people. These relationships shape how she thinks about herself and the world around her, what she needs, what she wants, and what she values. This is a perspective. We each have one. It represents the significance of the world to us. At the same time, it ignores what matters to others and how or what we are to them. Taking another person’s perspective is a way of reorienting that egocentric image so that it centers on someone else. Relying on empirical evidence from psychology and neuroscience, philosopher Heidi Maibom argues that although a perspective is unique to a person in some ways, it nonetheless possesses characteristics common to all perspectives. This commonality enables us to use our own first-person perspective to represent what matters to others, by imagining that we are at the center of their web of relationships. It also helps reveal who we actually are. It is this form of shifting perspectives that is at the core of impartiality, Maibom argues, and not the cold, scientific eye of so-called objectivity. Why? Because perspectives are ineliminable. A point of view is always a point of view, only an “objective” one leaves out many of the things that matter to human beings.
What is Distinctive about Feminist Epistemology at 25?
Attempts to identify feminist epistemology by picking out particular topics or projects that supposedly all feminist epistemologists engage, or by focusing on specific claims or theories about knowledge (justification, objectivity) to which all or most feminist epistemologists subscribe, often end up mischaracterizing the field. I argue that what makes feminist epistemology distinctive, a quarter century into its development, is best determined by examining what makes mainstream epistemology still so distinctively non‐feminist. For example, feminist epistemology includes a critical examination of historical and contemporary forms of epistemic subordination and disempowerment that it seeks to bring out from the shadows of traditional theorizing in epistemology, that is, forms of exclusion or distancing of women and other “others” from domains, conceptions, and idealizations of knowledge and of epistemology. This feminist project, though it encompasses quite a range of specific inquiries, is distinctive to the extent that proponents of mainstream projects or perspectives in epistemology remain hostile to, dismissive of, or notably ignorant of it. Mainstream marginalizations and dismissals of feminist work are underwritten by distinctively limited understandings of specific features of epistemological theorizing that come to the fore in an examination of the relationship between feminist and mainstream work in epistemology. These features include: a recognition of the historical situatedness of epistemology; an appreciation of different types of relationships between epistemology and politics; the promotion of epistemological reflexivity; critical re-assessments of starting concepts and questions in epistemology; and recognition of important connections between epistemic normativity and moral or political normativity.
Why AI is Harder Than We Think
Since its beginning in the 1950s, the field of artificial intelligence has cycled several times between periods of optimistic predictions and massive investment (“AI spring”) and periods of disappointment, loss of confidence, and reduced funding (“AI winter”). Even with today’s seemingly fast pace of AI breakthroughs, the development of long-promised technologies such as self-driving cars, housekeeping robots, and conversational companions has turned out to be much harder than many people expected. One reason for these repeating cycles is our limited understanding of the nature and complexity of intelligence itself. In this paper I describe four fallacies in common assumptions made by AI researchers, which can lead to overconfident predictions about the field. I conclude by discussing the open questions spurred by these fallacies, including the age-old challenge of imbuing machines with humanlike common sense.
Deepfakes, Shallow Epistemic Graves: On the Epistemic Robustness of Photography and Videos in the Era of Deepfakes
The recent proliferation of deepfakes, AI and other digitally produced deceptive representations has revived the debate on the epistemic robustness of photography and other mechanically produced images. Authors such as Rini (2020) and Fallis (2021) claim that the proliferation of deepfakes pose a serious threat to the reliability and the epistemic value of photographs and videos. In particular, Fallis adopts a Skyrmsian account of how signals carry information (Skyrms, 2010) to argue that the existence of deepfakes significantly reduces the information that images carry about the world, which undermines their reliability as a source of evidence. In this paper, we focus on Fallis’ version of the challenge, but our results can be generalized to address similar pessimistic views such as Rini’s. More generally, we offer an account of the epistemic robustness of photography and videos that allows us to understand these systems of representation as continuous with other means of information transmission we find in nature. This account will then give us the necessary tools to put Fallis’ claims into perspective: using a richer approach to animal signaling based on the signaling model of communication (Maynard-Smith and Harper, 2003), we will claim that, while it might be true that deepfake technology increases the probability of obtaining false positives, the dimension of the epistemic threat involved might still be negligible.
More Limits of Abductivism About Logic
Logical abductivism is the method which purports to use Inference to the Best Explantion (IBE) to determine the best logical theory. The present essay argues that this is not the case, since the method fails to meet the criteria requisite for the fruitful application of IBE. This occurs due to an intrinsic difficulty in choosing the appropriate evidence and theoretical virtues which guide theory revision in logic: one’s previous conception of logic influences both these choices. Logical abductivism fails, moreover, to select the best logical theory, exactly because a lack of agreement on theory and virtues for Logic. Rather than direct comparison between two options, a more suitable approach to theory revision in logic is piecemeal, because this method neither assumes nor needs a neutral ground from which to start revising theories.
Logic in Practice
“It must be the desire of every reasonable person to know how to justify a contention which is of sufficient importance to be seriously questioned. The explicit formulation of the principles of sound reasoning is the concern of Logic”.
This book discusses the habit of sound reasoning which is acquired by consciously attending to the logical principles of sound reasoning, in order to apply them to test the soundness of arguments. It isn’t an introduction to logic but it encourages the practice of logic, of deciding whether reasons in argument are sound or unsound. Stress is laid upon the importance of considering language, which is a key instrument of our thinking and is imperfect.
Big Decisions: Opting, Converting, Drifting
Abstract: I want to focus on some of the limits of decision theory that are of interest to the philosophical concern with practical reasoning and rational choice. These limits should also be of interest to the social-scientists’ concern with Rational Choice.