Despite increased philosophical and psychological work on practical wisdom, contemporary interdisciplinary wisdom research provides few specifics about how to develop wisdom (Kristjánsson 2022). This lack of practically useful guidance is due in part to the difficulty of determining how to combine the tools of philosophy and psychology to develop a plausible account of wisdom as a prescriptive ideal. Modeling wisdom on more ordinary forms of expertise is promising, but skill models of wisdom (Annas 2011; De Caro et al. 2018; Swartwood (...) 2013b; Tsai 2023) have been challenged on the grounds that there are important differences between wisdom and expert skills (Hacker-Wright 2015, p. 986; Kristjánsson 2015, pp. 98, 101; Stichter 2015, 2016, 2018). I’ll argue that we can both vindicate the promise of skill models of wisdom and begin to specify practically useful strategies for wisdom development by attending to a reflective process that I call Case-Based Critical Reflection. I begin by demonstrating the process as it arose in a notable example from everyday life, illustrating how the process can be usefully applied to a case study of interest to wisdom scientists, and explaining its philosophical pedigree. After isolating the key features that make it relevant to wisdom development, I argue that attending to the importance of Critical Reflection can defuse prominent objections to skill models of wisdom. (shrink)

According to virtue epistemology, the main aim of education is the development of the cognitive character of students (Pritchard, 2014, 2016). Given the proliferation of technological tools such as ChatGPT and other LLMs for solving cognitive tasks, how should educational practices incorporate the use of such tools without undermining the cognitive character of students? Pritchard (2014, 2016) argues that it is possible to properly solve this ‘technology-education tension’ (TET) by combining the virtue epistemology framework with the theory of extended cognition (...) (EXT) (Clark and Chalmers, 1998). He argues that EXT enables us to consider tools as constitutive parts of the students’ cognitive system, thus preserving their cognitive character from technologically induced cognitive diminishment. The first aim of this paper is to show that this solution is not sufficient to solve the TET. Second, I aim to offer a complementary and more encompassing framework of tool-use to address the TET. Then, I apply it to the educational uses of ChatGPT as the most notable example of LLM, although my arguments can be extended to other generative AI systems. To do so, in Sect. 1.1, I present Pritchard’s framework of cognitive character and virtue epistemology applied in education, to which I am committed in this treatment. In Sects. 2 and 3, I respectively illustrate Pritchard’s (2014) solution to the TET, and I highlight the general limitations of his proposal. Thus, in Sect. 4.1 I characterize ChatGPT as a computational cognitive artifact using Fasoli’s (2017, 2018) taxonomy of cognitive artifacts. In Sect. 4.2, I introduce my proposal, which combines Pritchard’s account of virtue epistemology with Fasoli’s (2017, 2018) taxonomy of cognitive artifacts to address the TET. Finally, in Sect. 5.1, I present some epistemically virtuous uses of ChatGPT in educational contexts. To conclude, I argue in favor of a multidisciplinary approach for analyzing educational activities involving AI technologies such as ChatGPT. (shrink)

Journal of Philosophy of Education, Volume 56, Issue 2, Page 210-226, April 2022.

In this paper, we examine how the availability of massive quantities of data i.e., the “Big Data” phenomenon, contributes to the creation, spread, and harms of online misinformation. Specifically, we argue that a factor in the problem of online misinformation is the evolved human instinct to recognize patterns. While the pattern-recognition instinct is a crucial evolutionary adaptation, we argue that in the age of Big Data, these capacities have, unfortunately, rendered us vulnerable. Given the ways in which online media outlets (...) profit from the spread of misinformation by preying on this pattern-finding instinct, we conceptualize the problem that we identify as a morally objectionable form of “epistemic exploitation.” As we argue, the consumer of digital misinformation is often exploited by having her pattern-recognition instinct used against her. This exploitation is morally objectionable because it deprives her of an epistemic good to which she has a right. This epistemic good is the integrity of the pattern-recognition instinct itself which, we argue, is a capacity that allows us to participate in uniquely human goods. While our primary goal is to bring attention to this form of epistemic exploitation, we conclude by briefly evaluating some general solutions to the growing problem of online misinformation. (shrink)

In his account of phenomenological psychopathology, Karl Jaspers advocates for the central role of subjective experience, something which he maintains cannot be accessed through intellectual effort, but through “empathic understanding” alone. In contradistinction to Jaspers’ account, I propose that phenomenology, as a process of inquiry and investigation, is fundamentally epistemological. Accordingly, I offer an intellectual virtue characterization of phenomenological psychopathology, using open-mindedness to illustrate the close conceptual links between the phenomenological endeavor and the intellectual virtues. By introducing the intellectual virtue (...) lexicon into the phenomenological psychopathology discourse, I then offer three preliminary recommendations for the training and education of phenomenological clinicians. Centering the educational recommendations on the psychiatric interview, I suggest that good questioning, listening, and reflecting necessarily require cultivation for intellectually virtuous phenomenological inquiry. (shrink)