Category: AI
…social and emotional capabilities and creativity stand out as most resistant to machine-based competition. Bjarne Corydon et al. Corydon, B., Staun, J., Bughin, J., Andersen, J. R., Lüneburg,…
On the one hand, high levels of demotivation, passive attitudes, boredom, poor engagement and frustration among the students are specifically identified in this category. Examples of studies that…
For any sufficiently complex dataset, the idea that ‘the data speak for themselves’ is implausible; developers and analysts select from a wide variety of mathematical and visual methods…
My primary objective is to provide a more convincing base from which such discussions could be better pursued. However, it is clear that the dramatic skills shifts I…
The creation of a standardised market for online publics and its expansion to the long tail of the Web; the quantification of engagement through metrics of clicking and…
We suggest setting up a nationwide workforce plan in which expected needs are broken down in detail and expected necessary skills forecast. In Denmark, the public debate indicates…
From a lecture by Wendell Wallach at the Villanova University Charles Widger School of Law (2019): https://vums-web.villanova.edu/Mediasite/Play/398be2773c1b47d29919dbc4a72544ed1d
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:…
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…
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…
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…
Counterserendipity Hyperfocus Self-amplifying cascades Skill erosion Perverse feedback Date deluge Monoculture Tenner, E. (2018). The Efficiency Paradox. Alfred A. Knopf
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 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…
“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…
A list compiled by the CITRIS Policy Lab at CITRIS and the Banatao Institute, UC Berkeley.