Pujadas, Roser; (2024) The challenges of artificial intelligence from a sociotechnical, critical perspective. Catalan Social Sciences Review , 14 (In press).

Text IEC-IA-Una perspectiva sociotecnica-English.pdf - Accepted Version Access restricted to UCL open access staff until 2 January 2025. Download (576kB)

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.

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