Algorithmic Institutionalism
Download Algorithmic Institutionalism PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Algorithmic Institutionalism book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Algorithmic Institutionalism
Author: Ricardo Fabrino Mendonça
language: en
Publisher: Oxford University Press
Release Date: 2024-03-05
Algorithmic Institutionalism is a multidisciplinary and innovative perspective on algorithms and the way they affect individuals and societies.
Algorithmic Institutionalism
Author: Ricardo Fabrino Mendonca
language: en
Publisher: Oxford University Press
Release Date: 2023-11-14
Algorithmic Institutionalism is the first book to conceive algorithms as institutions in contemporary societies, focusing on different dimensions of how they structure decision-making and enact power relations. In many situations in contemporary societies, algorithms structure social interactions, resulting in patterns of action and human behavior in collective contexts. Almeida, Filgueiras, and Mendonca discuss how algorithms are gradually occupying an institutional space in societies, deciding on different aspects of social life and shaping collective and individual human behaviors. As institutions, algorithms work as decision systems that define what is allowed, hindered, facilitated, or made impossible as well as positions within society's organizational structures. Algorithmic institutionalism uses the perspective of institutional theories to explain the functioning of these decision systems and how they establish patterns and norms that affect human behavior and lead to deep changes in contemporary society. The book points to the challenges of political orders that are gradually institutionalized with algorithms, comprising new dynamics of interaction between humans and machines. These disruptive dynamics of interaction between humans and machines create new challenges related to the democratization of algorithms and the impasses that emerge with technological advancement through digital technologies. Providing an analytical framework for an adequate comprehension of the social and political implications of algorithmic systems, Algorithmic institutionalism applies this framework to make sense of recommendation systems, the platformization of governments, and the deployment of algorithms in security. It then addresses the challenge of developing approaches to democratize the new political order influenced by the global expansion of algorithmic decision-making, pointing to key democratic values that are relevant once we consider the construction of legitimate decisions in contemporary societies.
Digital Capitalism and New Institutionalism
Modern institutional economics was created to study the institutions of pre-digital economies and is based on reductionist approaches. But digital capitalism is producing institutions of unprecedented complexity. This book argues, therefore, that not only the economic institutions themselves but also the theoretical foundations for studying those institutions must now be adapted to digital capitalism. The book focuses on the institutional complexity of digital capitalism, developing an interdisciplinary framework which brings together cutting-edge theoretical approaches from philosophy (first of all, object-oriented ontology), sociology (especially actor–network theory), evolutionary biology, and cognitive science. In particular, the book outlines a new approach to the study of institutional evolution, based on extended evolutionary synthesis – a new paradigm in evolutionary biology, which is now replacing neo-Darwinism. The book develops an enactivist notion of extended cognition and cognitive institutions, rejecting the individualistic and mechanistic understanding of economic rationality in digital environments. The author experiments with new philosophical approaches to investigate institutional complexity, for example, the ideas of the flat ontology and the assemblage theory. The flat ontology approach is applied to the study of human–robot institutions, as well as to thinking about post-anthropocentric institutional design. Assemblage thinking allows for a new (much less idealistic) look at blockchain and smart cities. Blockchain as digital institutional technology is considered in the book not from the viewpoint of minimizing transaction costs (as is customary in the modern institutional economics), but by using the theory of transaction value which focuses on improving the quality of digital transactions. The book includes a wide range of examples ranging from metaverses, cryptocurrencies, and big data to robot rules, smart contracts, and machine learning algorithms. Written for researchers in institutional economics and other social sciences, this interdisciplinary book is essential reading for anyone interested in the interplay of institutional and digital change.