The Threat of Algocracy: Reality, Resistance and Accommodation

One of the most noticeable trends in recent years has been the increasing reliance of public decision-making processes on algorithms, i.e. computer-programmed step-by-step instructions for taking a given set of inputs and producing an output. The question raised by this article is whether the rise of such algorithmic governance creates problems for the moral or political legitimacy of our public decision-making processes. Ignoring common concerns with data protection and privacy, it is argued that algorithmic governance does pose a significant threat to the legitimacy of such processes. Modelling my argument on Estlund’s threat of epistocracy, I call this the ‘threat of algocracy’. The article clarifies the nature of this threat and addresses two possible solutions. It is argued that neither solution is likely to be successful, at least not without risking many other things we value about social decision-making. The result is a somewhat pessimistic conclusion in which we confront the possibility that we are creating decision-making processes that constrain and limit opportunities for human participation

The strategic use of metaphors by political and media elites: the 2007-11 Belgian constitutional crisis

On 9 December 2011 a new Belgian government was sworn in after a record-breaking 541 days of negotiations between all democratic political forces with the aim to alter the constitution and provide more autonomy to the different regions that make up Belgium. In this article, the frequent use of political metaphors by North-Belgian politicians and journalists is analysed through a critical metaphor analysis (CMA) that approaches the different metaphors at a descriptive, an interpretative and a motivational level. Four meta-categories of metaphors were identified - sports and games metaphors, war metaphors, culinary metaphors and transport metaphors. The different metaphors fed into six core frames: expressing immobility, attributing blame, the need for unity, bargaining and teasing, the end is nigh and finally lack of direction and leadership. Metaphors were instrumental in strategies to present the Flemish demands as unquestionable and common sense, while the counter-demands of the French-speaking parties were positioned as unreasonable, impossible to accept. In other words, the strategic use of metaphors, some of which resonated throughout the long period of analysis, not only served to represent complex political issues in an easily digestible language, but also shaped and influenced the negotiations through their various mediations and the ideological intentions embedded within the metaphor

On the Problem of Vague Terms: A Glossary of Clearly Stated Assumptions & Careful, Patient, Descriptions

Coase 1930 endures through the decades as one of the most-cited papers in economics due to the fact that it highlights a fundamental and equally enduring problem: "Economic theory has suffered in the past from a failure to state clearly its assumptions. Economists in building up a theory have often omitted to examine the foundations on which it was erected. This examination is, however, essential not only to prevent the misunderstanding and needless controversy which arise from a lack of knowledge of the assumptions on which a theory is based, but also because of the extreme importance for economics of good judgement in choosing between rival sets of assumptions." In 1944 Von Neumann and Morgenstern offered the simply, yet invariably rejected solution: "In… economics the most fruitful work may be that of careful, patient description; indeed this may be by far the largest domain for the present and some time to come….Economic problems [have been and are often] not formulated clearly and are often stated in such vague terms as to make mathematical treatment a priori appear hopeless because it is quite uncertain what the problems really are. There is no point in using exact methods where there is no clarity in the concepts and issues to which they are to be applied. Consequently the initial task is to clarify the knowledge of the matter by further careful descriptive work." This paper offers a stone along the path to the solution to this problem by offering a glossary in this spirit, a glossary germain to some of the most fundamental, open problems in economics. As the fate of the human race may lay in the balance to finding solutions to these problems, this glossary may be a steop in the right direction.economic terms; methodology; scientific method; coase 1930; Von Neumann & Morgenstern 1944; definitions; careful, patient descriptions

Empiricism without Magic: Transformational Abstraction in Deep Convolutional Neural Networks

In artificial intelligence, recent research has demonstrated the remarkable potential of Deep Convolutional Neural Networks (DCNNs), which seem to exceed state-of-the-art performance in new domains weekly, especially on the sorts of very difficult perceptual discrimination tasks that skeptics thought would remain beyond the reach of artificial intelligence. However, it has proven difficult to explain why DCNNs perform so well. In philosophy of mind, empiricists have long suggested that complex cognition is based on information derived from sensory experience, often appealing to a faculty of abstraction. Rationalists have frequently complained, however, that empiricists never adequately explained how this faculty of abstraction actually works. In this paper, I tie these two questions together, to the mutual benefit of both disciplines. I argue that the architectural features that distinguish DCNNs from earlier neural networks allow them to implement a form of hierarchical processing that I call “transformational abstraction”. Transformational abstraction iteratively converts sensory-based representations of category exemplars into new formats that are increasingly tolerant to “nuisance variation” in input. Reflecting upon the way that DCNNs leverage a combination of linear and non-linear processing to efficiently accomplish this feat allows us to understand how the brain is capable of bi-directional travel between exemplars and abstractions, addressing longstanding problems in empiricist philosophy of mind. I end by considering the prospects for future research on DCNNs, arguing that rather than simply implementing 80s connectionism with more brute-force computation, transformational abstraction counts as a qualitatively distinct form of processing ripe with philosophical and psychological significance, because it is significantly better suited to depict the generic mechanism responsible for this important kind of psychological processing in the brain