Andre Ye

Current work in language models (LMs) helps us speed up or even skip thinking by accelerating and automating cognitive work. But can LMs help us with critical thinking -- thinking in deeper, more reflective ways which challenge assumptions, clarify ideas, and engineer new concepts? We treat philosophy as a case study in critical thinking, and interview 21 professional philosophers about how they engage in critical thinking and on their experiences with LMs. We find that philosophers do not find LMs to be useful because they lack a sense of selfhood (memory, beliefs, consistency) and initiative (curiosity, proactivity). We propose the selfhood-initiative model for critical thinking tools to characterize this gap. Using the model, we formulate three roles LMs could play as critical thinking tools: the Interlocutor, the Monitor, and the Respondent. We hope that our work inspires LM researchers to further develop LMs as critical thinking tools and philosophers and other 'critical thinkers' to imagine intellectually substantive uses of LMs.

Vision is an important metaphor in ethical and political questions of knowledge. The feminist philosopher Donna Haraway points out the “perverse” nature of an intrusive, alienating, all-seeing vision (to which we might cry out “stop looking at me!”), but also encourages us to embrace the embodied nature of sight and its promises for genuinely situated knowledge. Current technologies of machine vision – surveillance cameras, drones (for war or recreation), iPhone cameras – are usually construed as instances of the former rather than the latter, and for good reasons. However, although in no way attempting to diminish the real suffering these technologies have brought about in the world, I make the case for understanding technologies of computer vision as material instances of embodied seeing and situated knowing. Furthermore, borrowing from Iris Murdoch’s concept of moral vision, I suggest that these technologies direct our labor towards self-reflection in ethically significant ways. My approach draws upon paradigms in computer vision research, phenomenology, and feminist epistemology. Ultimately, this essay is an argument for directing more philosophical attention from merely criticizing technologies of vision as ethically deficient towards embracing them as complex, methodologically and epistemologically important objects.

In the discourse on International Justice, traditional frameworks are deeply rooted in 'embodied metaphysics'—a perspective embedded in the tangible experiences of human existence. By contrasting the physical with the digital realms, I suggest that our current global justice systems are ill-equipped to address the complexities of the digital age. Utilizing the metaphor of water to highlight the often-unseen environment shaping justice theories and practices, I argue that International Justice, as conventionally understood, reflects the constraints akin to fish oblivious to the water surrounding them. In digital spaces, individuals are no longer bound by principles of singularity and locality, and instead operate by principles of multiplicity and nonlocality. These metaphysical differences disrupt many theories of global justice assuming singularity and nonlocality. My aim is to encourage scholars and practitioners to 'see water'—to acknowledge and critically reassess the foundational assumptions underlying their theories and practices in an era of digital transformation.