Introduction: AI Group Discussion #
Group discussions have long been a method employed by management education institutions to filter suitable candidates for admission into various programs.
However, the traditional group discussion process is time-consuming, requiring both moderators and candidates to travel to designated locations. This approach is not scalable, especially when evaluating thousands of eligible students.
With the advent of artificial intelligence (AI), the group discussion process can now be automated and simplified. Candidates interact with a simulated AI environment, which provides multiple participants and varying viewpoints, either in contrast or in accordance with the candidate’s views.
As a result, candidates are required to express their opinions on the given topic and actively participate in the group discussion.
For moderators, predefined selection criteria or evaluation standards can be set, allowing the AI to generate a unique rating or feedback based on these parameters. Consequently, moderators can assess communication skills, problem-solving abilities, collaborative aptitude, and overall participation in the group discussion.
By using an AI-driven group discussion process, institutions can streamline their admission procedures and automate various aspects of candidate selection. In doing so, technology such as AI group discussions plays a crucial role in simulating real-life discussions to identify suitable candidates for admission.
