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Artificial Intelligence and Ethics in Portfolio Management

In: Digital Business Transformation

Author

Listed:
  • Elena Beccalli

    (Universita’ Cattolica del Sacro Cuore)

  • Viktor Elliot

    (University of Gothenburg)

  • Francesco Virili

    (University of Sassari)

Abstract

This work in progress aims to explore ethical dilemmas connected to the use of Artificial Intelligence (AI) in financial portfolio management, and their managerial implications. In old school quantitative investing, portfolio allocation decisions are typically based on a well-defined investment strategy. Financial portfolio managers devise and apply investment strategies to maximize expected returns for customers’ portfolios. The introduction of AI-enhanced algorithms enables smart machines to automatically revise and update investment strategies, learning from the past. AI itself might produce significant effects on the gains and losses of the portfolio management strategies, raising ethical dilemmas connected with human versus machine responsibility, accountability, and risk. From the managerial point of view, a new dimension of performance measuring, competence evaluation and incentive allocation is required for managing AI software developers in this area. To explore such dilemmas, empirical evidence is drawn here from MDOTM, an innovative and successful young enterprise developing AI-driven investment strategies for financial markets.

Suggested Citation

  • Elena Beccalli & Viktor Elliot & Francesco Virili, 2020. "Artificial Intelligence and Ethics in Portfolio Management," Lecture Notes in Information Systems and Organization, in: Rocco Agrifoglio & Rita Lamboglia & Daniela Mancini & Francesca Ricciardi (ed.), Digital Business Transformation, pages 19-30, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-47355-6_2
    DOI: 10.1007/978-3-030-47355-6_2
    as

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