This paper proposes a novel way to understand trust in blockchain technology by analogy with trust placed in institutions. In support of the analysis, a detailed investigation of institutional trust is provided, which is then used as the basis for understanding the nature and ethical limits of blockchain trust. Two interrelated arguments are presented. First, given blockchains’ capacity for being institution-like entities by inviting expectations similar to those invited by traditional institutions, blockchain trust is argued to be best conceptualized as (...) a specialized form of trust in institutions. Keeping only the core functionality and certain normative ideas of institutions, this technology broadens our understanding of trust by removing the need for third parties while retaining the value of trust for the trustor. Second, the paper argues that blockchains’ decentralized nature and the implications and effects of this decentralization on trust issues are double-edged. With the erasure of central points, the systems simultaneously crowd out the pivotal role played by traditional institutions and a cadre of representatives in meeting their assigned obligations and securing the functional systems’ trustworthy performances. As such, blockchain is positioned as a technology containing both disruptive features that can be embedded with meaningful normative values and inherent ethical limits that pose a direct challenge to the actual trustworthiness of blockchain implementations. Such limits are proposed to be ameliorated by facilitating a shift of responsibility to the groups of people directly associated with the engendering of trust in the blockchain context. (shrink)

I challenge the common view that trust is characteristically risky compared to distrust by drawing attention to the moral and epistemic risks of distrust. Distrust that is based in real fear yet fails to target ill will, lack of integrity, or incompetence, serves to marginalize and exclude individuals who have done nothing that would justify their marginalization or exclusion. I begin with a characterization of the suite of behaviors characteristic of trust and distrust. I then survey the epistemic and moral (...) hazards of distrust, in particular, distrust’s propensity to bias interpretation, to perpetuate itself, to confirm itself, to dishonor, and to insult. Taking seriously these moral and epistemic hazards requires taking affirmative measures to respond to them. I elaborate one such response: “humble trust”. The practice of humble trust issues from skepticism about the warrant of one’s own felt attitudes of trust and distrust, curiosity about who might be unexpectedly responsive to trust and in which contexts, and commitment to abjure and to avoid distrust of the trustworthy. Humble trust enables individuals to trust that they will be trusted. (shrink)

In this paper, we explain and showcase the promising methodology of testimonial network analysis and visualization for experimental epistemology, arguing that it can be used to gain insights and answer philosophical questions in social epistemology. Our use case is the epistemic community that discusses vaccine safety primarily in English on Twitter. In two studies, we show, using both statistical analysis and exploratory data visualization, that there is almost no neutral or ambivalent discussion of vaccine safety on Twitter. Roughly half the (...) accounts engaging with this topic are pro-vaccine, while the other half are con-vaccine. We also show that these two camps rarely engage with one another, and that the con-vaccine camp has greater epistemic reach and receptivity than the pro-vaccine camp. In light of these findings, we question whether testimonial networks as they are currently constituted on popular fora such as Twitter are living up to their promise of delivering the wisdom of crowds. We conclude by pointing to directions for further research in digital social epistemology. (shrink)