Artificial Intelligence (AI) is everywhere, yet it causes damage to society in ways that can’t be fixed. Instead of helping to address our current crises, AI causes divisions that limit people’s life chances, and even suggests fascistic solutions to social problems. This book provides an analysis of AI’s deep learning technology and its political effects and traces the ways that it resonates with contemporary political and social currents, from global austerity to the rise of the far right.
Dan McQuillan calls for us to resist AI as we know it and restructure it by prioritising the common good over algorithmic optimisation. He sets out an anti-fascist approach to AI that replaces exclusions with caring, proposes people’s councils as a way to restructure AI through mutual aid and outlines new mechanisms that would adapt to changing times by supporting collective freedom.
Academically rigorous, yet accessible to a socially engaged readership, this unique book will be of interest to all who wish to challenge the social logic of AI by reasserting the importance of the common good.
Artificial intelligence is not some kind of science fiction reality that takes us seamlessly into a new era. As we saw in Chapter 2 , AI is not a clean break from what came before but continues forms of ordering that reinforce the status quo. In this chapter we’ll look at what happens when AI becomes entangled with existing institutional systems and how the net effect of this is increased bureaucratic thoughtlessness and general precarity. We’ll start by looking at the way AI poaches its legitimacy from science, as its association with the superiority of
This chapter takes a look at the operations of AI, that is, at the kind of computation that currently carries the title of ‘artificial intelligence’. It looks in turn at machine learning, at deep learning and at the infrastructure that supports them. One reason to have a close look at the actual operations of AI is to debunk the association between it and anything we would recognize as human intelligence. Part of the problem with AI is the way the rhetorical and cultural force of the term ‘artificial intelligence’ gets used to legitimate changes to social
In the previous chapter we presented the principles of mutual aid and solidarity as the basis for resisting AI and its associated necropolitics, and proposed the tactics of workers’ and people’s councils to put this resistance into practice. This chapter develops the idea of an anti-fascist approach to AI as that which goes beyond an immediate resistance to algorithmic violence and fascistic solutionism. An anti-fascist approach to AI is one that shifts the focus from resisting AI to restructuring the conditions that give rise to AI in the first place.
The AI industry is booming. Despite a deep economic crisis caused by the COVID-19 pandemic, digital technologies have seen remarkable success. When lockdowns/confinements began, more of us had to become digitally ‘enabled’ citizens – and even more so for those businesses forced to send employees to work from home. This even involved people historically less comfortable with sharing data and engaging with digital content being pushed forward into the world of new technologies, sharing their personal information, registering on all types of
University of Maryland
Un criterio non ideologico
per decidere quanto dare ai poveri
1. - Introduzione
Quanto aiuto dovrebbe essere dato a coloro che appartengono alle classi
di reddito piu basse? Le polemiche al riguardo sono andate avanti per
secoli, se non per millenni. Da un lato, sono numerosi quelli che ricono-
scono le disgrazie e le privazioni sopportate dai poveri, nonche il richiamo
morale di politiche pubbliche assistenziali. DalPaltro lato, molti richiamano
l'attenzione sul ruolo svolto dall'imprevidenza e dall'indolenza nel
Universita di Roma
«Saggi sul risparmio e Pimposta»
di Luigi Einaudi *
1. — Premessa
Questo scritto costituisce la prima parte di una piu ampia trattazione
diretta ad esaminare il contributo di Luigi Einaudi agli studi di finanza pub-
Esso e dedicato all'esame dei quattro saggi piu importanti pubblicati da
Luigi Einaudi tra il 1912 ed il 1929: 1) Intorno al concetto di reddito imponibik
e di un sistema di imposte sul reddito guadagnato; 2) Osservazioni critiche
intorno alia teoria dell'ammortamento dell'imposta e
What makes a great city? Why do people and businesses still value urban life and buildings over a quiet life in the suburbs or countryside? Now might seem a difficult time to make the case for social contact in urban areas – so why is face-to-face contact still considered crucial to many 21st-century economies?
In a look back over a century’s-worth of thinking about cities, business and office locations, this accessible book explains their ongoing importance as places that thrive on face-to-face meetings, and in negotiating uncertainty and ‘sealing the deal’.
Using interviews with business leaders and staff from knowledge-intensive, innovation-rich industries, it argues for the continuing value of the ‘right’ location despite the information revolution, the penetration of artificial intelligence (AI), and the COVID-19 pandemic. It also explores why digital systems have transformed businesses in cities and towns, but in fact have changed surprisingly little about the challenges of business life.
This timely book gives readers, including developers, investors, policy-makers and students of planning or geography, essential tools for thinking about the future of places ranging from market towns to great World Cities.
(AI) will replace even emotion-based work, resulting in widespread unemployment, economic redundancy, and a collapse in consumption. As noted, extreme scenarios must be tempered with remembrance about the dangers of technological determinism, but the possibilities and social/political consequences of such events deserve serious consideration.
A further possibility is that emotions will become central not only to work, but to whole economies as they become prized commoditised products in themselves. Emotional skills are recognised not only as an important skillset
The concept of transhumanism emerged in the middle of the 20th century, and has influenced discussions around AI, brain–computer interfaces, genetic technologies and life extension. Despite its enduring influence in the public imagination, a fully developed philosophy of transhumanism has not yet been presented.
In this new book, leading philosopher Stefan Lorenz Sorgner explores the critical issues that link transhumanism with digitalization, gene technologies and ethics. He examines the history and meaning of transhumanism and asks bold questions about human perfection, cyborgs, genetically enhanced entities, and uploaded minds.
Offering insightful reflections on values, norms and utopia, this will be an important guide for readers interested in contemporary digital culture, gene ethics, and policy making.