Category: AI

Le prolétariat du clic

Si ces analyses semblent encore pertinentes, c’est parce que le capitalisme des plateformes a abondamment recours à la même vieille ruse qu’utilisaient les propriétaires manufacturiers du siècle passé:…

Re-engineering humanity

We could focus on some specific intelligence-related characteristics that have often been identified in the definitional debates about what makes us human. Here is a short list of…

The knowledge we have lost in information

It is important to understand how this refracted the very notion of radical ignorance as a natural state of being for humankind in the later political economy of…

Human-Focused Turing Tests

Four central themes of the broader project of which this article is a part are: – when does technology (automated systems) replace or diminish our humanity?– can we…

7 undesirable consequences of algorithms

Counterserendipity Hyperfocus Self-amplifying cascades Skill erosion Perverse feedback Date deluge Monoculture Tenner, E. (2018). The Efficiency Paradox. Alfred A. Knopf

AIed

Based on the combination of these models with data analytics and machine learning processes, Pearson’s proposed vision of AIed includes the development of intelligent tutoring systems (ITS) which…

Computational thinking

Computational thinking has triumphed because it has first seduced us with its power, then befuddled us with its complexity, and finally settled into our cortexes as self-evident. Its…

Heideggerian AI

“The best model of the world is the world itself.” rodney Brooks (quoted by hubert l. dreyfus) Dreyfus, H. L. (2013). Why Heideggerian AI Failed and How Fixing…

Inclusive AI Resources

A list compiled by the CITRIS Policy Lab at CITRIS and the Banatao Institute, UC Berkeley.