Towards Hybrid Intelligence in Learning Organizations

Frontiers in artificial intelligence and applications

Abstract

The roles of humans and AI as the labor force of organizations need continuous re-evaluation with the advancement of AI. While automation has replaced some tasks, knowledge-intensive work environments rely on human intelligence, as those work practices transcend canonical procedures. We propose a hybrid intelligence methodology for organizations to address knowledge erosion. We contextualize this methodology in an example case study from the Legal Desk in the Netherlands, following the six principles of designing intelligent organizations [1], i.e., addition, relevance, substitution, diversity, collaboration, and explanation. We found that adhering to these six basic principles appeared to be a balancing act on two axes: contribution of AI versus human intelligence towards the tasks, and the way of working of human and artificial agents over time. We propose two additional principles. The first is human oversight, which highlights the importance of human control in organizational decision-making. The second principle is collaborative reflection which emphasizes the need to actively manage organizational intelligence. We also discuss the challenges to enable our methodology in the organizational context. This paper aims to inspire researchers and practitioners to pursue new initiatives towards achieving hybrid intelligence for learning organizations.

Authors 4

1. Stephanie Tan

   Delft University of Technology

   Affiliation as printed

   Delft University of Technology, Delft, the Netherlands

2. Wendy M. Aartsen
   Affiliation as printed

   Hands4Grants, Leiden, the Netherlands

3. Dicky van Hamersveld
   Affiliation as printed

   Hands4Grants, Leiden, the Netherlands

4. Catholijn M. Jonker Aachen

   Leiden University · Delft University of Technology

   Affiliation as printed

   Delft University of Technology, Delft, the Netherlands

   Leiden University, Leiden, the Netherlands