A growing literature is taking an institutionalist and governance perspective on how algorithms shape society based on unprecedented capacities for managing social complexity. Algorithmic governance altogether emerges as a novel and distinctive kind of societal steering. It appears to transcend established categories and modes of governance—and thus seems to call for new ways of thinking about how social relations can be regulated and ordered. However, as this paper argues, despite its novel way of realizing outcomes of collective steering and coordination, (...) it can nevertheless be grasped with an old and fundamental figure in political philosophy: that of Thomas Hobbes’ Leviathan. Comparing algorithmic governance with this figure serves to highlight their similarities as socio-political arrangements, and specifically to clarify how algorithmic governance parallels the apolitical traits of the Leviathan—it eliminates the political as it requires compliance and forgoing contestation to best fulfill its role and to produce satisfying outcomes. (shrink)

A major challenge with the increasing use of Artificial Intelligence applications is to manage the long-term societal impacts of this technology. Two central concerns that have emerged in this respect are that the optimized goals behind the data processing of AI applications usually remain opaque and the energy footprint of their data processing is growing quickly. This study thus explores how much people value the transparency and environmental sustainability of AI using the example of personal AI assistants. The results from (...) a choice-based conjoint analysis with a sample of more than 1.000 respondents from Germany indicate that people hardly care about the energy efficiency of AI; and while they do value transparency through explainable AI, this added value of an application is offset by minor costs. The findings shed light on what kinds of AI people are likely to demand and have important implications for policy and regulation. (shrink)

Existentialist philosophy offers an understanding of how trying to eliminate ambiguities that inevitably mark the human condition only seemingly leads to freedom. This existentialist outlook can also serve to shed light on how democratic politics may similarly show tendencies which aim at overcoming immanent tensions. Such tendencies in democratic politics can be clarified using Sartre’s notion of ignorance – and truth as its counterpart. His concept of ignorance goes beyond merely facts or knowledge and refers to a mode of being. (...) It expresses a subject’s desire to avoid, rather than confront, resistances stemming from the world. Based on a distinction of different forms in which this orientation can manifest itself, this article shows how democratic politics, too, can be threatened by ignorance as a way of doing politics. This ignorance comes in different guises which all express a desire to eliminate tensions that democratic politics cannot overcome without undermining itself. (shrink)

Algorithmic systems that provide services to people by supporting or replacing human decision-making promise greater convenience in various areas. The opacity of these applications, however, means that it is not clear how much they truly serve their users. A promising way to address the issue of possible undesired biases consists in giving users control by letting them configure a system and aligning its performance with users’ own preferences. However, as the present paper argues, this form of control over an algorithmic (...) system demands an algorithmic literacy that also entails a certain way of making oneself knowable: users must interrogate their own dispositions and see how these can be formalized such that they can be translated into the algorithmic system. This may, however, extend already existing practices through which people are monitored and probed and means that exerting such control requires users to direct a computational mode of thinking at themselves. (shrink)

Advances in information and communication technologies enable more decentralized and individualized mechanisms for coordination and for managing societal complexity. This has important consequences for the role of conditionality and the idea of individual responsibility in two seemingly unrelated policy areas. First, the changing information infrastructure enables an extension of conditionality in the area of welfare through greater activation, enhanced self-management, and a personalization of risks. Second, conditionality and personal responsibility also form an important ideational template and a legitimatory basis for (...) facilitating value creation that is based on data as a raw material. This argument is illustrated looking at the trajectories of the digital strategies in the United Kingdom and Germany. In both cases, data protection is depicted as a question of individual responsibility and tied to certain forms of individual conduct. (shrink)

It is well-established that party identity biases the processing of political information and the evaluation of political actors. This is presumed to avoid cognitive dissonance and achieve positive affect. What happens, however, when individuals diverge from this pattern and do make identity-inconsistent evaluations of political actors – how does this translate into positive and negative emotions toward the candidates? The paper addresses this question using large-N data from the main televised debate of the 2017 German national election by combining survey (...) responses with viewer perceptions measured during the debate. The findings suggest that candidate ratings made during the debate have different valence depending on a person’s party identity. Strikingly, a stronger party identity does not mean a reduced impact of identity-inconsistent evaluations on emotional responses toward a candidate. Rather, only evaluations in accordance with one’s party identity, and hence with lower information value, show a reduced effect on emotional responses. (shrink)