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Managing Uncertainty: Using AI to Effectively Reduce Risk

Author

Listed:
  • Tilea Doina Maria 0000-0001-9412-5485

    ("Dimitrie Cantemir" Christian University of Bucharest, Romania,)

  • Nicolau Irina 0000-0001-8424-0447

    ("Dimitrie Cantemir" Christian University of Bucharest, Romania,)

  • Dinu Ana-Maria 0000-0003-2109-1231

    ("Dimitrie Cantemir" Christian University of Bucharest, Romania,)

Abstract

In today's world, businesses encounter threats at any given moment, regardless of their nature, industry, or location. They must stay relevant in a competitive marketplace in order to preserve their position, accomplish their objectives, generate profits, and put objectives into practice to remain viable in the ever-changing environment in which they run their business. Businesses need to leverage the newest technologies in their operations to achieve all of this. Artificial intelligence is the newest and most controversial one.

Suggested Citation

  • Tilea Doina Maria 0000-0001-9412-5485 & Nicolau Irina 0000-0001-8424-0447 & Dinu Ana-Maria 0000-0003-2109-1231, 2023. "Managing Uncertainty: Using AI to Effectively Reduce Risk," Social-Economic Debates, Association for Entreprenorial Spirit Promotion, vol. 12(1), pages 1-7, octombrie.
    • Handle: RePEc:sdb:social:v:12:y:2023:i:1:p:1-7
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    More about this item

    Keywords

    Risk; management; Artificial Intelligence; organization;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production

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