A Behavioral Economics Approach to Digitalisation

9 Pages Posted: 18 Oct 2018 Last revised: 27 Mar 2021

See all articles by Dirk Beerbaum

Dirk Beerbaum

Aalto University - Department of Accounting and Finance; Aalto University - School of Business

Julia M. Puaschunder

Columbia University; New School for Social Research; Harvard University; The Situationist Project on Law and Mind Sciences

Date Written: August 22, 2018

Abstract

A growing body of academic research in the field of behavioural economics, political science and psychology demonstrate how an invisible hand can nudge people’s decisions towards a preferred option. Contrary to the assumptions of the neoclassical economics, supporters of nudging argue that people have problems coping with a complex world, because of their limited knowledge and their restricted rationality. Technological improvement in the age of information has increased the possibilities to control the innocent social media users or penalise private investors and reap the benefits of their existence in hidden persuasion and discrimination. Nudging enables nudgers to plunder the simple uneducated and uninformed citizen and investor, who is neither aware of the nudging strategies nor able to oversee the tactics used by the nudgers (Puaschunder 2017a, b; 2018a, b). The nudgers are thereby legally protected by democratically assigned positions they hold. The law of motion of the nudging societies holds an unequal concentration of power of those who have access to compiled data and coding rules, relevant for political power and influencing the investor’s decision usefulness (Puaschunder 2017a, b; 2018a, b). This paper takes as a case the “transparency technology XBRL (eXtensible Business Reporting Language)” (Sunstein 2013, 20), which should make data more accessible as well as usable for private investors. It is part of the choice architecture on regulation by governments (Sunstein 2013). However, XBRL is bounded to a taxonomy (Piechocki and Felden 2007). Considering theoretical literature and field research, a representation issue (Beerbaum, Piechocki and Weber 2017) for principles-based accounting taxonomies exists, which intelligent machines applying Artificial Intelligence (AI) (Mwilu, Prat and Comyn-Wattiau 2015) nudge to facilitate decision usefulness. This paper conceptualizes ethical questions arising from the taxonomy engineering based on machine learning systems: Should the objective of the coding rule be to support or to influence human decision making or rational artificiality? This paper therefore advocates for a democratisation of information, education and transparency about nudges and coding rules (Puaschunder 2017a, b; 2018a, b).

Keywords: Artificial Intelligence Ethics, Behavioural Economics, Digitalisation, Human-Computer Interaction, Nudging, Principles-based Taxonomy and XBRL, Taxonomy

Suggested Citation

Beerbaum Dr., Dirk and Puaschunder, Julia M., A Behavioral Economics Approach to Digitalisation (August 22, 2018). Proceedings of the 10th International RAIS Conference on Social Sciences and Humanities; Published by Atlantis Press; Part of Series: ASSEHR; ISSN: 2352-5398, Volume 211, Available at SSRN: https://ssrn.com/abstract=3266608 or http://dx.doi.org/10.2139/ssrn.3266608

Dirk Beerbaum Dr. (Contact Author)

Aalto University - Department of Accounting and Finance ( email )

P.O. Box 1210
Helsinki, 00100
Finland

Aalto University - School of Business ( email )

Finland

Julia M. Puaschunder

Columbia University ( email )

3022 Broadway
New York, NY 10027
United States

New School for Social Research ( email )

6 East 16th Street
New York, NY 10003
United States

Harvard University ( email )

24 Oxford Street
Cambridge, MA 02138
United States

The Situationist Project on Law and Mind Sciences ( email )

24 Oxford Street
Cambridge, MA 02138
United States

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