We use technology to make and fix things, but what if it can help us be curious and possibly understand and accept people with different points of view?
The AI overview we got when asking Google, “What is an icebreaker activity?” is: “a game, event, or activity that helps people get to know each other and build rapport. Icebreakers can be used in meetings, social gatherings, or to help people form a team. They can range from simple questions to more elaborate games.”
This blog post describes the ‘icebreaker tool’ — a Generative AI used to give a new team of specialists something to react to and help them understand each other.
It has become increasingly daunting to be a polymath. So we choose between training people as specialists (locked in silos), or they become broad at the expense of depth, which abandons the rigor of specialist thinking. Generative AI can potentially help trainers and trainees to characterize and relate to a multidisciplinary team of specialists.
In setting up this scenario, we think about how a library works. We are the question askers and the librarian knows how to find knowledge. Good thing the library (Large Language Model) and librarian (Generative AI) have a handle on the relationships in knowledge, because we can only hold and juggle a few concepts at a go. We can use our own tricks to help us consider what we learn. We think of how things we are told remind us of other things. We decide if these things confirm, extend, or break what we already thought.