The Political Economy of AI: Towards Democratic Control of the Means of Prediction

Maximilian Kasy

No x7pcy, SocArXiv from Center for Open Science

Abstract: This chapter discusses the regulation of artificial intelligence (AI) from the vantage point of political economy, based on the following premises: (i) AI systems maximize a single, measurable objective. (ii) In society, different individuals have different objectives. AI systems generate winners and losers. (iii) Society-level assessments of AI require trading off individual gains and losses. (iv) AI requires democratic control of algorithms, data, and computational infrastructure, to align algorithm objectives and social welfare. I address several debates regarding the ethics and social impact of AI, including (i) fairness, discrimination, and inequality, (ii) privacy, data property rights, and data governance, (iii) value alignment and the impending robot apocalypse, (iv) explainability and accountability for automated decision-making, and (v) automation and the impact of AI on the labor market and on wage inequality. (Stone Center on Socio-Economic Inequality Working Paper)

Date: 2023-04-19
New Economics Papers: this item is included in nep-big, nep-cmp, nep-hme and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Related works:
Working Paper: The Political Economy of AI: Towards Democratic Control of the Means of Prediction (2024)
Working Paper: The political economy of AI: Towards democratic control of the means of prediction (2023)
Working Paper: The political economy of AI: Towards democratic control of the means of prediction (2023)
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:x7pcy

DOI: 10.31219/osf.io/x7pcy

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