Generative AI-Augmented Decision-Making for Business Information Systems

The integration of Generative Artificial Intelligence (GAI) in decision-making has ushered in a new era of opportunities and challenges for organizations. However, due to the way GAI algorithms work, the propagation of social biases and the lack of transparency on how they use data raises concerns about the autonomy and control of human decision-making powered by such systems. In this experimental research paper, we contrast the answers that ChatGPT, a popular GAI tool, can give us in the context of decision-making with what we know about such processes from the management and business information systems literature. Our findings suggest that GAI can facilitate the organization of information and options for making decisions. However, without a moral and ethical stance, the responsibility for the decisions remains with the human actor. Suggesting a collaborative approach between humans and GAI, we reflect on the changes to learning and adaptation patterns that need to happen on both sides to reform the way we make GAI-augmented decisions.