Smarter Tech ↔ Better Teams: a dual imperative

21 mei 2024

Work teams will increasingly consist of humans and intelligent machines. How can humans and AI learn to work together?

Josette Gevers - Photo: Bart van Overbeeke

One team

In a world where AI is getting smarter and operates more autonomously, a crucial question arises: how can humans and intelligent machines effectively work together as one team? Professor dr. Josette Gevers addressed this question during her inaugural lecture on May 16. With a focus on work teams, she spoke about the evolution of team research under the influence of the unstoppable rise of AI.

Monitoring and support

While AI is already making inroads in various sectors worldwide, the question arises not only what this means for our jobs, but also what it means for human-machine teaming. For example, Gevers highlighted how she and colleagues are working on new AI technology to objectively measure dynamics within teams without disrupting team processes. These measurement methods not only provide a deeper insight into team dynamics, but also enable monitoring and supporting teams in challenging situations where teamwork is crucial, such as medical emergencies or police charges.

What is teamwork?

But this is only the beginning. Collaboration between humans and AI is a long-term process. In a world where machines were previously controlled by humans, they are now growing into autonomous decision makers, operating independently. This shift places new demands on collaboration. Intelligent machines need to discover the art of teamwork, as they currently excel mostly in task-oriented skills and have little capability to coordinate their actions, be it with humans or machines. On the other hand, people must learn how much trust they can place in intelligent machines and how to cooperate with them to achieve optimal performance. It is a joint learning process, where both humans and machines must develop new skills to work together effectively.

Guide

The answer to this challenge requires inter- and transdisciplinary research approaches, with different scientific fields working together. Gevers advocates a holistic approach in the development of AI applications, supported by a solid scientific foundation, where the still quite nascent research field “Science of Team Science” can play a guiding role.

In a world where teamwork is crucial for success, Gevers emphasizes the importance of this collaboration between humans and AI with the old adage in mind: “teamwork makes the dream work.”

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