Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Perspective for Economic and Social Unfoldings of AI

Version 1 : Received: 29 June 2022 / Approved: 29 June 2022 / Online: 29 June 2022 (05:22:14 CEST)

How to cite: Oliveira, H. A Perspective for Economic and Social Unfoldings of AI. Preprints 2022, 2022060396. https://doi.org/10.20944/preprints202206.0396.v1 Oliveira, H. A Perspective for Economic and Social Unfoldings of AI. Preprints 2022, 2022060396. https://doi.org/10.20944/preprints202206.0396.v1

Abstract

This paper aims to introduce an overview of several aspects of the so-called Artificial Intelligence, their potential impacts on economic and social dimen- sions, and suggestions for possible approaches of investiment based upon effective and mature techniques. In this fashion, it is important to address from educational and academic issues to industrial densities and profiles, rel- atively to a given region, country or continent. Even etymological adequacy and psychological consequences of the denomination ”Artificial Intelligence” need some reflection, and suggestions for a lucid replacement are presented. In addition, suggestions about how can specific firms choose the right type of technique in order to improve profit and organizational efficiency. After all, what are the main transformations needed to amplify gains and structural improvements from the use of higher level technological mecha- nisms? Which connections can be established between the pillars of evolu- tionary economics and this field of knowledge? Which institutional contexts are able to benefit from AI tools, inducing constructive externalities to firms in terms of education, technical and scientific skills upgrading, so as to reach higher levels of employment in the long term and limit unemployment in the short one? Which branches of the so-called Artificial Intelligence are best suited to which types of activities? This work aims to contribute in the search for answers to these questions.

Keywords

Fuzzy Logic; Global optimization; Mechanism design; Game theory; Artificial inference; Global learning

Subject

Business, Economics and Management, Economics

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