What it’s all about
Managers are always well advised to have a brief discussion with their artificial intelligence before calling a meeting with employees to clarify two fundamental questions:
Is the meeting even necessary?
The first question to the system should relate to whether the idea of a meeting is even necessary in order to utilise resources such as employees’ time and energy more efficiently. For this, AI can
- help to assess the urgency and importance of the meeting topics and
- Analyse whether the objectives of the meeting can also be achieved through other means and channels of communication that may be more effective in achieving the desired results.
Overall, a brief consultation with the AI can ensure that meetings actually offer added value and contribute to the achievement of objectives.
How should the meeting run?
From this point of view, AI assistance is useful to
- clearly structure the meeting topics and emphasise key points, ensuring an efficient and focused meeting,
- quickly provide relevant data and analyses that contribute to decision-making. This way, the manager has up-to-date and accurate information to reach well-founded decisions and hold informed discussions.
- develop new perspectives and ideas on meeting topics that may not be immediately obvious, enriching the discussion and encouraging innovative solutions,
- Plan and run the meeting effectively, saving time and increasing productivity,
- anticipate potential questions and concerns from employees and prepare appropriate responses or solutions, which contributes to smoother communication.
Conclusion
Overall, a brief conversation with the AI helps the manager determine the need for meetings and go into the meeting better prepared to make the discussion more productive and make informed decisions.
Further reading
- Gascó-Hernandez, M. (2020). Building a Smart City for Citizen Engagement. Communications of the ACM, 63(7), 50-57. Discusses using AI for optimizing meeting agendas and decision-making processes.
- Shrestha, Y. R., & Yang, Y. (2019). Fairness in algorithmic decision-making: Applications in multi-winner voting, machine learning, and artificial intelligence. Algorithms, 12(9), 199. Examines AI’s role in improving objectivity and fairness in decision-making processes.
- Duan, Y., Edwards, J. S., & Xu, M. X. (2005). Web-based expert systems: benefits and challenges. Information & Management, 42(6), 799-811. Explores using web-based AI expert systems to enhance productivity and decision quality.
- Maedche, A., Legner, C., Benlian, A., Berger, B., Gimpel, H., Hess, T., … & Somers, T. (2019). AI-based digital assistants. Business & Information Systems Engineering, 61(4), 535-544. Analyzes AI assistants’ capabilities in supporting managers’ tasks like meeting preparation.
- Kolbjørnsrud, V., Amico, R., & Thomas, R. J. (2016). How artificial intelligence will redefine management. Harvard Business Review, 2, 1-6. Discusses AI’s potential to augment managerial decision-making and task execution.
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