This contribution aims to unpack the ontological nexus of cyborg identity and culture. It highlights a set of core assumptions driving its operations that merit critical attention as cyborgic and A...

Many political philosophers have held that democracy has epistemic benefits. Most commonly, this case is made by arguing that democracies are better able to track the truth than other political arrangements. Truth, however, is not the only epistemic good that is politically valuable. A number of other epistemic goods – goods including evidence, intellectual virtue, epistemic justice, and empathetic understanding – can also have political value, and in ways that go beyond the value of truth. In this paper, I will (...) survey those who have argued that democracy can be valuable because of these other epistemic benefits, considering (1) the ways in which these epistemic goods can be of political value and (2) the challenges that democracies face in producing them. (shrink)

Recently, epistocrats have challenged the value of democracy by claiming that policy outcomes can be improved if the electorate were narrowed to empower only those with sufficient knowledge to inform competent policy decisions. I argue that by centering on contesting how well regimes employ extant knowledge in decision-making, this conversation has neglected to consider how regimes influence the production of knowledge over time. Science and technology studies scholars have long recognized that political systems impact the productivity of expert research. I (...) argue that in order to evaluate which regime is “smarter,” we must consider not only how well they employ existing knowledge in decision-making, but we must also assess how those regimes influence the ongoing production of policy-relevant knowledge. Thus, I offer an instrumental defense of democracy based on its capacity to encourage a superior pattern and quality of expert research to inform policy decisions over time. Epistocracy may be effective at employing extant knowledge in the short run, but in the long run, democracy is a superior environment for producing knowledge to inform policy decisions. (shrink)

ABSTRACTThe idea that the crowd could ever be intelligent is a counterintuitive one. Our modern, Western faith in experts and bureaucracies is rooted in the notion that political competence is the purview of the select few. Here, as in my book Democratic Reason, I defend the opposite view: that the diverse many are often smarter than a group of select elites because of the different cognitive tools, perspectives, heuristics, and knowledge they bring to political problem solving and prediction. In this (...) essay I defend my epistemic argument against proceduralist democrats; the value of model thinking against empiricists; the bracketing of fundamental value diversity against critics who see such diversity as an essential feature of politics; the intelligence of the masses in the face of voter ignorance and systematic biases; and the normative priority of democracy over market mechanisms. I also consider challenges to my use of Hong and Page's formal results, the epistemically proper selection method for representatives, and the role of deliberation in problem solving. I finally chart three avenues for further research. (shrink)

ABSTRACTIlya Somin's Democracy and Political Ignorance represents a missed opportunity to fully examine the implications of public ignorance in modern democracies. Somin persuasively argues that existing levels of public ignorance undermine the main normative accounts of democratic legitimacy, and he demonstrates that neither cognitive shortcuts nor heuristics can provide a quick fix for democracy. However, Somin seeks to find a simple explanation for public ignorance in the conscious, rational choices of voters. He thus commits to the position that voters choose (...) to be ignorant and irrational—and to the simplistic implication that given the right incentives they would choose otherwise. This position is empirically problematic, methodologically flawed, and theoretically redundant. On the more plausible view that ignorance is the inadvertent result of social complexity, it is clear that simply focusing on incentives tells us little about what voters would or would not know under different institutional circumstances. (shrink)

ABSTRACTIn Democratic Reason, Hélène Landemore argues that deliberation and the aggregation of citizens' dispersed knowledge should tend to produce better consequences than rule by the one or the few. However, she pays insufficient attention to the epistemic processes necessary to realize these democratic goods. In particular, she fails to consider the question of where citizens' beliefs and ideas come from, with the result that the democratic decision mechanisms she focuses on are insufficiently powerful to justify her consequentialist defense of mass (...) decision making. If “the few” are technocratic experts, Landemore supplies little reason to resist their rule on epistemic grounds, for she does not secure a knowledge base for the citizens that might compete with the knowledge that is often attributed to such “experts.” Aggregating and deliberating about poor information is no substitute for good information. Her book can therefore be seen as a call for a new phase of epistemic political theory that compares the real-world knowledgeability of ordinary citizens and putative experts, but it does not convincingly deliver on its goal to demonstrate the epistemic superiority of the former. (shrink)

The Hong and Page ‘diversity trumps ability’ result has been used to argue for the more general claim that a diverse set of agents is epistemically superior to a comparable group of experts. Here we extend Hong and Page’s model to landscapes of different degrees of randomness and demonstrate the sensitivity of the ‘diversity trumps ability’ result. This analysis offers a more nuanced picture of how diversity, ability, and expertise may relate. Although models of this sort can indeed be suggestive (...) for diversity policies, we advise against interpreting such results overly broadly. (shrink)

ABSTRACTNormative political epistemologists, such as epistemic democrats, study whether political decision makers can, in principle, be expected to know what they need to know if they are to make wise public policy. Empirical political epistemologists study the content and sources of real-world political actors' knowledge and interpretations of knowledge. In recent years, empirical political epistemologists have taken up the study of the ideas of political actors other than voters, such as bureaucrats and politicians. Normative political epistemologists could follow this lead (...) if they were to focus on the technocratic orientation of nearly all political actors in the West: that is, on their desire to solve social and economic problems. Since most technocratic policy is made by political elites, the reliability of elites' knowledge of the causes of and cures for social and economic problems is a natural topic for normative political epistemology. (shrink)

This paper contributes to growing debates over the decision-making ability of democracy by considering the epistemic value of deliberative democracy. It focuses on the benefits democratic deliberation can derive from its diversity, and the extent to which these benefits can be realised with respect to the complexities of political problems. The paper first calls attention to the issue of complexity through a critique of Hélène Landemore and the Diversity Trumps Ability Theorem. This approach underestimates complexity due to its reliance on (...) an ‘oracle assumption’ and this is shown to highlight more general difficulties for applying the benefits of diversity to the realities of political problems. The paper then develops a new model of deliberation—based on an relationship between cognitive diversity and diminishing returns to cognitive type—which does not involve an oracle assumption and can therefore support the epistemic value of deliberative democracy even for complex problems. The benefits of diversity are also argued to be better realised though sortition than either democratic elections or epistocracy, pointing to the value of deliberation between randomly selected citizens. Finally, and contrary to past work, the new account suggests that diversity cannot alone establish the superiority of democratic deliberation over all non-democratic alternatives, and that it is insufficient to mount a purely epistemic argument for deliberative democracy. The paper therefore furthers our understanding of the epistemic value of deliberative democracy by clarifying when and to what extent diversity is a benefit to political problem solving. (shrink)

On August 30, 2013, the American Political Science Association sponsored a roundtable on political epistemology as part of its annual meetings. Co-chairing the roundtable were Jeffrey Friedman, Department of Government, University of Texas at Austin; and Hélène Landemore, Department of Political Science, Yale University. The other participants were Scott Althaus, Department of Political Science, University of Illinois at Urbana-Champaign; Mark Bevir, Department of Political Science, University of California at Berkeley; Rogers Smith, Department of Political Science, University of Pennsylvania; and Susan (...) Stokes, Department of Political Science, Yale University. We thank the participants for permission to republish their remarks, which they subsequently edited for clarity. (shrink)

What structure of scientific communication and cooperation, between what kinds of investigators, is best positioned to lead us to the truth? Against an outline of standard philosophical characteristics and a recent turn to social epistemology, this paper surveys highlights within two strands of computational philosophy of science that attempt to work toward an answer to this question. Both strands emerge from abstract rational choice theory and the analytic tradition in philosophy of science rather than postmodern sociology of science. The first (...) strand of computational research models the effect of communicative networks within groups, with conclusions regarding the potential benefit of limited communication. The second strand models the potential benefits of cognitive diversity within groups. Examples from each strand of research are used in analyzing what makes modeling of this sort both promising and distinctly philosophical, but are also used to emphasize possibilities for failure and inherent limitations as well. (shrink)

Agent-based models have played a prominent role in recent debates about the merits of democracy. In particular, the formal model of Lu Hong and Scott Page and the associated “diversity trumps ability” result has typically been seen to support the epistemic virtues of democracy over epistocracy (i.e., governance by experts). In this paper we first identify the modeling choices embodied in the original formal model and then critique the application of the Hong-Page results to philosophical debates on the relative merits (...) of democracy. In particular we argue that the “best-performing agents” in Hong-Page model should not be interpreted as experts. We next explore a closely related model in which best-performing agents are more plausibly seen as experts and show that the diversity trumps ability result fails to hold. However, with changes in other parameters (such as the deliberation dynamic) the diversity trumps ability result is restored. The sensitivity of this result to parameter choices illustrates the complexity of the link between formal modeling and more general philosophical claims; we use this debate as a platform for a more general discussion of when and how agent-based models can contribute to philosophical discussions. (shrink)

In a series of formal studies and less formal applications, Hong and Page offer a ‘diversity trumps ability’ result on the basis of a computational experiment accompanied by a mathematical theorem as explanatory background (Hong & Page 2004, 2009; Page 2007, 2011). “[W]e find that a random collection of agents drawn from a large set of limited-ability agents typically outperforms a collection of the very best agents from that same set” (2004, p. 16386). The result has been extremely influential as (...) an epistemic justification for diversity policy initiatives. Here we show that the ‘diversity trumps ability’ result is tied to the particular random landscape used in Hong and Page’s simulation. We argue against interpreting results on that random landscape in terms of ‘ability’ or ‘expertise.’ These concepts are better modeled on smother and more realistic landscapes, but keeping other parameters the same those are landscapes on which it is groups of the best performing that do better. Smoother landscapes seem to vindicate both the concept and the value of expertise. Change in other parameters, however, also vindicates diversity. With an increase in the pool of available heuristics, diverse groups again do better. Group dynamics makes a difference as well; simultaneous ‘tournament’ deliberation in a group in place of the ‘relay’ deliberation in Hong and Page’s original model further emphasizes an advantage for diversity. ‘Tournament’ 2 dynamics particularly shows the advantage of mixed groups that include both experts and non-experts. As a whole, our modeling results suggest that relative to problem characteristics and conceptual resources, the wisdom of crowds and the wisdom of the few each have a place. We regard ours as a step toward attempting to calibrate their relative virtues in different modelled contexts of intellectual exploration. (shrink)