Abstract
The increasing use of new digital technologies and AI in organizations is bringing new ethical challenges that may harm the interests of some stakeholders in relation to privacy, freedom of choice and possible discrimination of some groups. The new strategies called corporate digital responsibility (CDR) incorporate the new dimension of digitalization into the corporate social responsibility (CSR) agenda that has been developing in recent decades to account for the need to address ethical issues with stakeholders and maintain reputational standards that can be ultimately beneficial to firms and other organizations. In this study I use an agent-based model to generate simulations applied to a game theoretic framework based on previous work introducing the effects of AI technologies. The objective of the model and the subsequent simulations is to study the effects on the cooperation level, social welfare obtained and degree of individual freedom and autonomy enjoyed by the agents of the simulated society of different levels of digitalization, and finding the likelihood and determinants of bad outcomes. In this experimentally constructed society in an abstract environment individual agents (a heterogeneous and evolving set of organizations and firms) use adaptive strategies from algorithms to make choices using local information (bounded rationality) on their surrounding social and economic environment. Agents are randomly paired in each time period to play economic games of competition and/or cooperation on time and are able to track the reputation gained from past interactions of themselves and others, so that social learning can feed the decision-making process.
Presenters
Juan Perote PeñaProfesor Titular de Universidad, Economic Analysis, University of Zaragoza, Zaragoza, Spain
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Artificial Intelligence, Agent-Based Models, Digitalization, Reputation Management
