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Integrating Ethical Values and Economic Value to Steer Progress in Artificial Intelligence

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  • Anton Korinek

Abstract

Economics and ethics both offer important perspectives on our society, but they do so from two different viewpoints – the central focus of economics is how the price system in our economy values resources; the central focus of ethics is the moral evaluation of actions in our society. The rise of Artificial Intelligence (AI) forces humanity to confront new areas in which ethical values and economic value conflict, raising the question of what direction of technological progress is ultimately desirable for society. One crucial area are the effects of AI and related forms of automation on labor markets, which may lead to substantial increases in inequality unless mitigating policy actions are taken or progress is actively steered in a direction that complements human labor. Additional areas of conflict arise when AI systems optimize narrow market value but disregard broader ethical values and thus impose externalities on society, for example when AI systems engage in bias and discrimination, hack the human brain, and increasingly reduce human autonomy. Market incentives to create ever more intelligent systems lead to the ultimate ethical question: whether we should aim to create AI systems that surpass humans in general intelligence, and how to ensure that humanity is not left behind.

Suggested Citation

  • Anton Korinek, 2019. "Integrating Ethical Values and Economic Value to Steer Progress in Artificial Intelligence," NBER Working Papers 26130, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:26130
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    1. Robert J. Gordon, 2016. "The Rise and Fall of American Growth: The U.S. Standard of Living since the Civil War," Economics Books, Princeton University Press, edition 1, number 10544.
    2. Daron Acemoglu & Pascual Restrepo, 2020. "The wrong kind of AI? Artificial intelligence and the future of labour demand," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 25-35.
    3. Gatti, Domenico Delli & Gallegati, Mauro & Greenwald, Bruce C. & Russo, Alberto & Stiglitz, Joseph E., 2012. "Mobility constraints, productivity trends, and extended crises," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 375-393.
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    Cited by:

    1. Konuk, Hızır & Ataman, Göksel & Kambur, Emine, 2023. "The effect of digitalized workplace on employees' psychological well-being: Digital Taylorism approach," Technology in Society, Elsevier, vol. 74(C).
    2. Naudé, Wim & Dimitri, Nicola, 2021. "Public Procurement and Innovation for Human-Centered Artificial Intelligence," IZA Discussion Papers 14021, Institute of Labor Economics (IZA).

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    More about this item

    JEL classification:

    • E25 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Aggregate Factor Income Distribution
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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