Toni Sims

In this report, we argue that there is a realistic possibility that some AI systems will be conscious and/or robustly agentic in the near future. That means that the prospect of AI welfare and moral patienthood — of AI systems with their own interests and moral significance — is no longer an issue only for sci-fi or the distant future. It is an issue for the near future, and AI companies and other actors have a responsibility to start taking it seriously. We also recommend three early steps that AI companies and other actors can take: They can (1) acknowledge that AI welfare is an important and difficult issue (and ensure that language model outputs do the same), (2) start assessing AI systems for evidence of consciousness and robust agency, and (3) prepare policies and procedures for treating AI systems with an appropriate level of moral concern. To be clear, our argument in this report is not that AI systems definitely are — or will be — conscious, robustly agentic, or otherwise morally significant. Instead, our argument is that there is substantial uncertainty about these possibilities, and so we need to improve our understanding of AI welfare and our ability to make wise decisions about this issue. Otherwise there is a significant risk that we will mishandle decisions about AI welfare, mistakenly harming AI systems that matter morally and/or mistakenly caring for AI systems that do not.

The field of AI safety considers whether and how AI development can be safe and beneficial for humans and other animals, and the field of AI welfare considers whether and how AI development can be safe and beneficial for AI systems. There is a prima facie tension between these projects, since some measures in AI safety, if deployed against humans and other animals, would raise questions about the ethics of constraint, deception, surveillance, alteration, suffering, death, disenfranchisement, and more. Is there in fact a tension between these projects? We argue that, considering all relevant factors, there is indeed a moderately strong tension—and it deserves more examination. In particular, we should devise interventions that can promote both safety and welfare where possible, and prepare frameworks for navigating any remaining tensions thoughtfully.

Many well-known arguments in the philosophy of mind use thought experiments to elicit intuitions about consciousness. Often, these thought experiments include mechanistic explanations of a systems’ behavior. I argue that when we understand a system as a mechanism, we are not likely to understand it as an agent. According to Arico, Fiala, Goldberg, and Nichols’ (2011) AGENCY Model, understanding a system as an agent is necessary for generating the intuition that it is conscious. Thus, if we are presented with a mechanistic description of a system, we will be very unlikely to understand that system as conscious. Many of the thought experiments in the philosophy of mind describe systems mechanistically. I argue that my account of consciousness attributions is preferable to the “Simplicity Intuition” account proposed by David Barnett (2008) because it is more explanatory and more consistent with our intuitions. Still, the same conclusion follows from Barnett’s “Simplicity” account and from my own account: we should reassess the conclusions that have been drawn from many famous thought experiments.

Although recent research suggests that women are underrepresented in philosophy after initial philosophy courses, there have been relatively few empirical investigations into the factors that lead to this early drop-off in women’s representation. In this paper, we present the results of empirical investigations at a large American public university that explore various factors contributing to women’s underrepresentation in philosophy at the undergraduate level. We administered climate surveys to hundreds of students completing their Introduction to Philosophy course and examined differences in women’s and men’s feelings of belonging, comfort, and confidence in the philosophy classroom. We present findings suggesting various factors that contribute to women’s lower willingness to continue in philosophy compared to men’s, including perceptions about intuition-based methods in philosophy, the usefulness of the philosophy major, philosophy as a male discipline, and philosophical abilities as innate talents. We conclude by providing some suggestions for improving undergraduate philosophy courses in ways that would increase women’s willingness to continue in philosophy and may improve the courses for all students

To address the underrepresentation of women in philosophy effectively, we must understand the causes of the early loss of women. In this paper we challenge one of the few explanations that has focused on why women might leave philosophy at early stages. Wesley Buckwalter and Stephen Stich offer some evidence that women have different intuitions than men about philosophical thought experiments. We present some concerns about their evidence and we discuss our own study, in which we attempted to replicate their results for 23 different responses to 14 scenarios. We also conducted a literature search to see if other philosophers or psychologists have tested for gender differences in philosophical intuitions. Based on our findings, we argue that that it is unlikely that gender differences in intuitions play a significant role in driving women from philosophy.