From passionate labour to compassionate work: Cultural co-ops, do what you love and social change

This article focuses on the relation between work and pleasure in the cultural sector. I first unpack the concept of passionate work, situating it within four possible ways of relating work and pleasure. I argue that the work ethic of do what you love, contrary to what it promises, limits the prospects of loveable work. As part of a neoliberal work culture, do what you love transfers the battleground from society onto the self. It favours self-management over politics. Drawing on findings from interview research with members of worker co-operatives in the UK cultural industries, I then go on to explore the relation between work and pleasure within cultural co-ops. I discuss how cultural co-ops might inspire and contribute to a movement for transforming the future of work by turning the desire for loveable work from a matter of individual transformation and competition into a practice of co-operation and social change

AI for Everyone? Critical Perspectives

We are entering a new era of technological determinism and solutionism in which governments and business actors are seeking data-driven change, assuming that Artificial Intelligence is now inevitable and ubiquitous. But we have not even started asking the right questions, let alone developed an understanding of the consequences. Urgently needed is debate that asks and answers fundamental questions about power. This book brings together critical interrogations of what constitutes AI, its impact and its inequalities in order to offer an analysis of what it means for AI to deliver benefits for everyone. The book is structured in three parts: Part 1, AI: Humans vs. Machines, presents critical perspectives on human-machine dualism. Part 2, Discourses and Myths About AI, excavates metaphors and policies to ask normative questions about what is ‘desirable’ AI and what conditions make this possible. Part 3, AI Power and Inequalities, discusses how the implementation of AI creates important challenges that urgently need to be addressed. Bringing together scholars from diverse disciplinary backgrounds and regional contexts, this book offers a vital intervention on one of the most hyped concepts of our times

Efficiency Theory: a Unifying Theory for Information, Computation and Intelligence

The paper serves as the first contribution towards the development of the theory of efficiency: a unifying framework for the currently disjoint theories of information, complexity, communication and computation. Realizing the defining nature of the brute force approach in the fundamental concepts in all of the above mentioned fields, the paper suggests using efficiency or improvement over the brute force algorithm as a common unifying factor necessary for the creation of a unified theory of information manipulation. By defining such diverse terms as randomness, knowledge, intelligence and computability in terms of a common denominator we are able to bring together contributions from Shannon, Levin, Kolmogorov, Solomonoff, Chaitin, Yao and many others under a common umbrella of the efficiency theory

Emergent information. Towards a unified information theory

This paper proposes the restoration of information theory by means of a philosophy of evolutionary systems. What this philosophy implies for the conception of information may be called a multi-stage model, comprising both the history and the ordering of information processing by real-world systems. Such a unifying information concept may assist suitable research in the coming field of information scienc

Toward a New Science of Information

The concept of information has become a crucial topic in several emerging scientific disciplines, as well as in organizations, in companies and in everyday life. Hence it is legitimate to speak of the so-called information society; but a scientific understanding of the Information Age has not had time to develop. Following this evolution we face the need of a new transdisciplinary understanding of information, encompassing many academic disciplines and new fields of interest. Therefore a Science of Information is required. The goal of this paper is to discuss the aims, the scope, and the tools of a Science of Information. Furthermore we describe the new Science of Information Institute (SOII), which will be established as an international and transdisciplinary organization that takes into consideration a larger perspective of information