Intractable political disagreements threaten to fracture the common ground upon which we can build a political community. The deepening divisions in society are partly fueled by the ways social media has shaped political engagement. Social media allows us to sort ourselves into increasingly likeminded groups, consume information from different sources, and end up in polarized and insular echo chambers. To solve this, many argue for various ways of cultivating more responsible epistemic agency. This chapter argues that this epistemic lens does (...) not reveal the complete picture and therefore misses a form of moral respect required to reestablish cooperation across disagreements in a divided society. The breakdown of discourse online provides renewed reasons to draw out not an epistemic but a moral basis for political cooperation among diverse citizens—one inspired by Rawlsian political liberalism. We need ways to cultivate mutual respect for our fellow citizens in order to reestablish common moral ground for political debate. (shrink)

As algorithms have become ubiquitous in consequential domains, societal concerns about the potential for discriminatory outcomes have prompted urgent calls to address algorithmic bias. In response, a rich literature across computer science, law, and ethics is rapidly proliferating to advance approaches to designing fair algorithms. Yet computer scientists, legal scholars, and ethicists are often not speaking the same language when using the term ‘bias.’ Debates concerning whether society can or should tackle the problem of algorithmic bias are hampered by conflations (...) of various understandings of bias, ranging from neutral deviations from a standard to morally problematic instances of injustice due to prejudice, discrimination, and disparate treatment. This terminological confusion impedes efforts to address clear cases of discrimination. -/- In this paper, we examine the promises and challenges of different approaches to disambiguating bias and designing for justice. While both approaches aid in understanding and addressing clear algorithmic harms, we argue that they also risk being leveraged in ways that ultimately deflect accountability from those building and deploying these systems. Applying this analysis to recent examples of generative AI, our argument highlights unseen dangers in current methods of evaluating algorithmic bias and points to ways to redirect approaches to addressing bias in generative AI at its early stages in ways that can more robustly meet the demands of justice. (shrink)

In this position paper, we introduce a new epistemic lens for analyzing algorithmic harm. We argue that the epistemic lens we propose herein has two key contributions to help reframe and address some of the assumptions underlying inquiries into algorithmic fairness. First, we argue that using the framework of epistemic injustice helps to identify the root causes of harms currently framed as instances of representational harm. We suggest that the epistemic lens offers a theoretical foundation for expanding approaches to algorithmic (...) fairness in order to address a wider range of harms not recognized by existing technical or legal definitions. Second, we argue that the epistemic lens helps to identify the epistemic goals of inquiries into algorithmic fairness. There are two distinct contexts within which we examine algorithmic harm: at times, we seek to understand and describe the world as it is, and, at other times, we seek to build a more just future. The epistemic lens can serve to direct our attention to the epistemic frameworks that shape our interpretations of the world as it is and the ways we envision possible futures. Clarity with respect to which epistemic context is relevant in a given inquiry can further help inform choices among the different ways of measuring and addressing algorithmic harms. We introduce this framework with the goal of initiating new research directions bridging philosophical, legal, and technical approaches to understanding and mitigating algorithmic harms. (shrink)

This chapter brings together debates in political philosophy and epistemology over what we should do when we disagree. While it might be tempting to think that we can apply one debate to the other, there are significant differences that may threaten this project. The specification of who qualifies as a civic or epistemic peer are not coextensive, utilizing different idealizations in denoting peerhood. In addition, the scope of disagreements that are relevant vary according to whether the methodology chosen falls within (...) ideal theory or nonideal theory. Finally, the two literatures focus on different units of analysis that diverge according to the philosophical purpose behind their investigation of disagreement. Epistemologists analyze the rationality of individuals’ belief states whereas political philosophers focus on the just governance of a diverse society. Despite these differences, political epistemologists can learn valuable lessons by considering these debates side by side in order to provide insights that address a host of different challenges posed by political disagreement. The core lesson to draw from the disanalogies outlined in this paper is that to make progress, careful attention should be paid to specifying the goal of any particular project within political epistemology. (shrink)

In this chapter, I consider the problem children, conceived of as future citizens, pose to understanding the scope and limits of Rawls’s Political Liberalism by focusing on the civic education of children. Can a politically liberal state provide all children the opportunity to become reasonable citizens? Or does the cultivation of reasonableness require comprehensive liberalism? I show that educating children to become reasonable in the way Rawls outlines imposes a demanding requirement that conflicts with Rawls’s aim of including a wide (...) constituency in the scope of political liberalism. Rawls’s aim of making reasonableness broadly inclusive for political purposes is in tension with his goal of using reasonableness as the standard that delineates the scope of liberal legitimacy. I argue that political liberalism can and should try to cultivate the reasonableness of its future citizens through the civic education of children. However, a defensible version of political liberal civic education requires introducing a bifurcation within Rawls’s conception of reasonableness. A political liberal form of civic education should aim towards the inclusive scope of reasonableness by cultivating reasonableness in only two of what appear to be three senses that Rawls emphasizes. Teaching children that legitimacy requires embracing public reason demands more than may be justifiably required by a state that seeks to be broadly inclusive. (shrink)

Political epistemology is a newly flourishing area of philosophy, but there is no comprehensive overview to this burgeoning field. This chapter maps out the terrain of political epistemology, highlights some of the key questions and topics of this field, draws connections across seemingly disparate areas of work, and briefly situates this field within its historical and contemporary contexts.

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