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To regulate or not: a social dynamics analysis of the race for AI supremacy
As a consequence, different actors are urging to consider both the normative and social impact of these technological advancements.
Counterfactual thinking in cooperation dynamics
Given the wide cognitive empowerment of counterfactual reasoning in the human individual, the question arises of how the presence of individuals with this capability may improve cooperation in populations of self-regarding individuals.
Mediating Artificial Intelligence Developments through Negative and Positive Incentives
The field of Artificial Intelligence (AI) is going through a period of great expectations, introducing a certain level of anxiety in research, business and also policy.
Artificial Intelligence Development Races in Heterogeneous Settings
Regulation of advanced technologies such as Artificial Intelligence (AI) has become increasingly important, given the associated risks and apparent ethical issues.
Voluntary safety commitments provide an escape from over-regulation in AI development
With the introduction of Artificial Intelligence (AI) and related technologies in our daily lives, fear and anxiety about their misuse as well as the hidden biases in their creation have led to a demand for regulation to address such issues.
Co-evolution of Social and Non-Social Guilt
Resorting to methods from evolutionary game theory, we study analytically, and through extensive numerical and agent-based simulations, whether and how such social and non-social guilt can evolve and deploy, depending on the underlying structure of the populations, or systems, of agents.
