
Title: The Machine is Learning, But What are WE Learning from the Machine?
Abstract: Despite Alan Turing’s fear in 1951 that ‘once the machine thinking method has started at some stage
we will have to expect the machine will take control’, or Norbert Wiener’s prediction in the 1960s,
‘we know that for a long time everything we do will be nothing more than the jumping off point for
those who have the advantage of already being aware of our ultimate results’, strong “Artificial
Intelligence” has triggered only recently a polarised debate in several domains of science, together
with the inevitable seduction of the general public’s imagination. Particularly the algorithmic dance
on oligopolistic social media and ecommerce platforms has been at the forefront of “hacking
democracy” assertions: responsible for fake news and disinformation architectures, symptomatic of
populism-radicalism-violent extremism, reproducing gender, race, class and other bias in
employment, health, education, as well as digital labor and gig economy problematics on the future of
work and intensification, hence giving birth to new concerns of data justice, tech giant whistle-
blowing, digital rights, data inequality and environmental impact of computation, even resistance
movements to any Intelligent Machines whatsoever. Cutting through this hyperbolic, yet partially
justified fog, my talk will engage with the problem of loss and seduction: Learning from machines
comes with a sense of loss, not because of losing the uniqueness of being human, but because internal
human temporalisation accelerates in sync with machines in ways humanity cannot yet understand. To
evidence this argument, my talk will rely on empirical snapshots to argue for a de-translation and re-
translation of what we might think we are learning from machines, and what we might want to be
intervening and correcting in the process of machines learning, by ‘becoming more certain of the
purpose with which we desire’ (Wiener 1961), in order to invent an AI future that includes everyone.
BIO: Prof. Athina Karatzogianni is Professor of Technology and Society at the University of Leicester. She
has published on a range of topics related to the impact of digital technology on society, including
platform economics and digital governance, the rise of disinformation, and the politics of artificial
intelligence. Her book AI, Cybersecurity and Digital Politics is forthcoming in 2026 with Oxford
University Press. Online at: https://le.ac.uk/people/athina-karatzogianni