Pujadas, Roser;
(2024)
The challenges of artificial intelligence from a sociotechnical, critical perspective.
Revista Catalana de Ciències Socials = Catalan Social Sciences Review
, 14
pp. 205-208.
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Abstract
Artificial intelligence (AI) brings new opportunities as well as challenges, but we need to demystify it, and question discourses that present certain versions or applications of AI as unavoidable. AI is not a clearly bounded, homogeneous phenomenon. There are many possible applications and contexts of use. What is concerning is the diffusion of certain AI technologies that amplify inequalities both in its development and use, and harm the environment. More specifically, we are witnessing how Big Tech is developing Machine Learning (ML) technologies that are highly extractive (of data, labour, and natural resources). Given the high cost of production and capacity to access to data, their monopolistic tendencies are reinforced, and result in further concentration of power. Furthermore, ML models trained with very big data, frequently result in technologies that make inaccurate predictions, and reproduce biases and social inequalities.
| Type: | Article |
|---|---|
| Title: | The challenges of artificial intelligence from a sociotechnical, critical perspective |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://revistes.iec.cat/index.php/CSSr/article/vi... |
| Language: | English |
| Additional information: | This is an open access article published under a Creative Commons Reconeixement-NoComercial-SensEobresDerivades 3.0 Espanya licence (https://creativecommons.org/licenses/by-nc-nd/3.0/es/deed.ca). |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > STEaPP |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10187402 |
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